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Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature
Extractor
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2025
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Jiaqi Guo
Yunnan Wu
Evangelos Kaimakamis
Georgios Petmezas
Vasileios E. Papageorgiou
Nicos Maglaveras
Aggelos K. Katsaggelos
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ScarNet: A Novel Foundation Model for Automated Myocardial Scar
Quantification from LGE in Cardiac MRI
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2025
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Neda Tavakoli
Amir Ali Rahsepar
Brandon Benefield
Daming Shen
Santiago LĂłpez-Tapia
Florian Schiffers
Jeffrey J. Goldberger
Christine M. Albert
Edwin Wu
Aggelos K. Katsaggelos
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Review and Novel Formulae for Transmittance and Reflectance of Wedged Thin Films on absorbing Substrates
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2024
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Manuel Ballester
E. MĂĄrquez
John L. Bass
Christoph Wuersch
Florian Willomitzer
Aggelos K. Katsaggelos
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POSYDON Version 2: Population Synthesis with Detailed Binary-Evolution
Simulations across a Cosmological Range of Metallicities
|
2024
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Jeff J. Andrews
Simone S. Bavera
Max Briel
Abhishek Chattaraj
Aaron Dotter
Tassos Fragos
Monica Gallegos-Garcia
Seth Gossage
Vicky Kalogera
Eirini Kasdagli
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Irregularly Sampled Time Series Interpolation for Detailed Binary
Evolution Simulations
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2024
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Philipp M. Srivastava
UÄur Demir
Aggelos K. Katsaggelos
Vicky Kalogera
Elizabeth Teng
Tassos Fragos
Jeff J. Andrews
Simone S. Bavera
Max Briel
Seth Gossage
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Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening
Using Deep Learning
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2024
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Hui Lin
Jiyang Li
Ramy Hussein
Xin Sui
Xiaoyu Li
Guangpu Zhu
Aggelos K. Katsaggelos
Zijing Zeng
Yelei Li
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Characterization of Crystal Properties and Defects in CdZnTe Radiation Detectors
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2024
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Manuel Ballester
Jaromir Kaspar
Francesc Massanés
Srutarshi Banerjee
Alexander Hans Vija
Aggelos K. Katsaggelos
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Emulators for stellar profiles in binary population modeling
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2024
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Elizabeth Teng
UÄur Demir
Z. Doctor
Philipp M. Srivastava
Shamal Lalvani
Vicky Kalogera
Aggelos K. Katsaggelos
Jeff J. Andrews
Simone S. Bavera
M. M. Briel
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Sm: enhanced localization in Multiple Instance Learning for medical
imaging classification
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2024
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Francisco M. Castro-MacĂas
Pablo Morales-Ălvarez
Yunan Wu
Rafael Molina
Aggelos K. Katsaggelos
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DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical
Image Segmentation via Disentangled Representation Learning
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2024
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Hui Lin
Florian Schiffers
Santiago LĂłpez-Tapia
Neda Tavakoli
Daniel Kim
Aggelos K. Katsaggelos
|
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RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space
Diffusion Stochastic Differential Equations
|
2024
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Jiaqi Guo
Santiago LĂłpez-Tapia
Wing Shun Li
Yunnan Wu
Marcelo A. Carignano
Vadim Backman
Vinayak P. Dravid
Aggelos K. Katsaggelos
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Characterization of Crystal Properties and Defects in CdZnTe Radiation
Detectors
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2024
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Manuel Ballester
Jaromir Kaspar
Francesc Massanés
Srutarshi Banerjee
Alexander Hans Vija
Aggelos K. Katsaggelos
|
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Review and Novel Formulae for Transmittance and Reflectance of Wedged
Thin Films on absorbing Substrates
|
2024
|
Manuel Ballester
E. MĂĄrquez
John L. Bass
Christoph Wuersch
Florian Willomitzer
Aggelos K. Katsaggelos
|
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PDF
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VDPI: Video Deblurring with Pseudo-inverse Modeling
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2024
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Zhihao Huang
Santiago LĂłpez-Tapia
Aggelos K. Katsaggelos
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Synthetic Light-in-Flight
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2024
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Patrick Cornwall
Manuel Ballester
Stefan Forschner
Muralidhar M. Balaji
Aggelos K. Katsaggelos
Florian Willomitzer
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An Angular Spectrum Approach to Inverse Synthesis for the
Characterization of Optical and Geometrical Properties of Semiconductor Thin
Films
|
2024
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John Bass
Manuel Ballester
S. FernĂĄndez
Aggelos K. Katsaggelos
E. MĂĄrquez
Florian Willomitzer
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Explainable Transformer Prototypes for Medical Diagnoses
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2024
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UÄur Demir
Debesh Jha
Zheyuan Zhang
Elif KeleĆ
Bradley D. Allen
Aggelos K. Katsaggelos
UlaĆ BaÄcı
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Modeling and Simulation of Charge-Induced Signals in Photon-Counting CZT
Detectors for Medical Imaging Applications
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2024
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Manuel Ballester
Jaromir Kaspar
Francesc Massanés
Srutarshi Banerjee
Alexander Hans Vija
Aggelos K. Katsaggelos
|
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Brighteye: Glaucoma Screening with Color Fundus Photographs based on
Vision Transformer
|
2024
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Hui Lin
Charilaos Apostolidis
Aggelos K. Katsaggelos
|
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Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised
Dimensionality Reduction for Clustering Gravitational Wave Glitches
|
2024
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Yi Li
Yunan Wu
Aggelos K. Katsaggelos
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Focused Active Learning for Histopathological Image Classification
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2024
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Arne Schmidt
Pablo Morales-Ălvarez
Lee Cooper
Lee A. Newberg
Daniel A. Enquobahrie
Aggelos K. Katsaggelos
Rafael Molina
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Focused active learning for histopathological image classification
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2024
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Arne Schmidt
Pablo Morales-Ălvarez
Lee Cooper
Lee A. Newberg
Daniel A. Enquobahrie
Rafael Molina
Aggelos K. Katsaggelos
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Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection
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2024
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Francisco M. Castro-MacĂas
Pablo Morales-Ălvarez
Yunan Wu
Rafael Molina
Aggelos K. Katsaggelos
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A General Method to Incorporate Spatial Information into Loss Functions
for GAN-based Super-resolution Models
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2024
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Xijun Wang
Santiago LĂłpez-Tapia
Alice Lucas
Xinyi Wu
Rafael Molina
Aggelos K. Katsaggelos
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PDF
Chat
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Explainable Transformer Prototypes for Medical Diagnoses
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2024
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UÄur Demir
Debesh Jha
Zheyuan Zhang
Elif KeleĆ
Bradley D. Allen
Aggelos K. Katsaggelos
UlaĆ BaÄcı
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PDF
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Real-World Atmospheric Turbulence Correction via Domain Adaptation
|
2024
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Xijun Wang
Santiago LĂłpez-Tapia
Aggelos K. Katsaggelos
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Casinos, card counters, and the law of large numbers
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2024
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Shamal Lalvani
Aggelos K. Katsaggelos
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Advancing Glitch Classification in Gravity Spy: Multi-view Fusion with Attention-based Machine Learning for Advanced LIGO's Fourth Observing Run
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2024
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Yunan Wu
M. Zevin
C. P. L. Berry
Kevin Crowston
Carsten Ăsterlund
Z. Doctor
S. Banagiri
Corey Jackson
Vicky Kalogera
Aggelos K. Katsaggelos
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Atmospheric Turbulence Correction via Variational Deep Diffusion
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2023
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Xijun Wang
Santiago LĂłpez-Tapia
Aggelos K. Katsaggelos
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Reinforcement Learning for Adaptive Video Compressive Sensing
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2023
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Sidi Lu
Xin Yuan
Aggelos K. Katsaggelos
Weisong Shi
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BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
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2023
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Jennifer J. Sun
Lili Karashchuk
Amil Dravid
Serim Ryou
Sonia Fereidooni
John C. Tuthill
Aggelos K. Katsaggelos
Bingni W. Brunton
Georgia Gkioxari
Ann R. Kennedy
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Thermal Spread Functions (TSF): Physics-Guided Material Classification
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2023
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Aniket Dashpute
Vishwanath Saragadam
E. Alexander
Florian Willomitzer
Aggelos K. Katsaggelos
Ashok Veeraraghavan
Oliver Cossairt
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Boost event-driven tactile learning with location spiking neurons
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2023
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Peng Kang
Srutarshi Banerjee
Henry Chopp
Aggelos K. Katsaggelos
Oliver Cossairt
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Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study (Preprint)
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2023
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Nicole L. Vike
Sumra Bari
Leandros Stefanopoulos
Shamal Lalvani
Byoung Woo Kim
Nicos Maglaveras
Martin P. Block
Hans C. Breiter
Aggelos K. Katsaggelos
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POSYDON: A General-purpose Population Synthesis Code with Detailed Binary-evolution Simulations
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2023
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Tassos Fragos
Jeff J. Andrews
Simone S. Bavera
C. P. L. Berry
Scott Coughlin
Aaron Dotter
Prabin Giri
Vicky Kalogera
Aggelos K. Katsaggelos
Konstantinos Kovlakas
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PDF
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Data quality up to the third observing run of advanced LIGO: Gravity Spy glitch classifications
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2023
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J Glanzer
S. Banagiri
S B Coughlin
S. Soni
M. Zevin
C. P. L. Berry
Oli Patane
S Bahaadini
N Rohani
Kevin Crowston
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DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
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2023
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Yunan Wu
Amil Dravid
Ramsey M. Wehbe
Aggelos K. Katsaggelos
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The secret of immersion: actor driven camera movement generation for auto-cinematography
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2023
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Xinyi Wu
Haohong Wang
Aggelos K. Katsaggelos
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Thermal Spread Functions (TSF): Physics-guided Material Classification
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2023
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Aniket Dashpute
Vishwanath Saragadam
E. Alexander
Florian Willomitzer
Aggelos K. Katsaggelos
Ashok Veeraraghavan
Oliver Cossairt
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Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization
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2023
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Xijun Wang
Aggelos K. Katsaggelos
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Atmospheric Turbulence Correction via Variational Deep Diffusion
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2023
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Xijun Wang
Santiago LĂłpez-Tapia
Aggelos K. Katsaggelos
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Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
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2023
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Yunan Wu
Francisco M. Castro-MacĂas
Pablo Morales-Ălvarez
Rafael Molina
Aggelos K. Katsaggelos
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Gravity Spy: Lessons Learned and a Path Forward
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2023
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M. Zevin
Corey Jackson
Z. Doctor
Yunan Wu
Carsten Ăsterlund
L. Clifton Johnson
C. P. L. Berry
Kevin Crowston
S. B. Coughlin
Vicky Kalogera
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StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
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2023
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Hui Lin
Tom Liu
Aggelos K. Katsaggelos
Adrienne Kline
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YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation
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2023
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Tom Liu
Hui Lin
Aggelos K. Katsaggelos
Adrienne Kline
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A Physics based Machine Learning Model to characterize Room Temperature Semiconductor Detectors in 3D
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2023
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Srutarshi Banerjee
Miesher Rodrigues
Manuel Ballester
Alexander Hans Vija
Aggelos K. Katsaggelos
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Event-based Shape from Polarization with Spiking Neural Networks
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2023
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Peng Kang
Srutarshi Banerjee
Henry Chopp
Aggelos K. Katsaggelos
Oliver Cossairt
|
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PDF
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Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
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2022
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Kyle A. Rocha
Jeff J. Andrews
C. P. L. Berry
Z. Doctor
Aggelos K. Katsaggelos
Juan Gabriel Serra PĂ©rez
Pablo Marchant
Vicky Kalogera
Scott Coughlin
Simone S. Bavera
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PDF
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Event - Driven Tactile Learning with Location Spiking Neurons
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2022
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Peng Kang
Srutarshi Banerjee
Henry Chopp
Aggelos K. Katsaggelos
Oliver Cossairt
|
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PDF
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medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
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2022
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Amil Dravid
Florian Schiffers
Boqing Gong
Aggelos K. Katsaggelos
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PDF
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Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes
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2022
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Amil Dravid
Florian Schiffers
Yunan Wu
Oliver Cossairt
Aggelos K. Katsaggelos
|
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PDF
Chat
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Discrete, recurrent, and scalable patterns in human judgement underlie
affective picture ratings
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2022
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Emanuel A. Azcona
Byoung-Woo Kim
Nicole L. Vike
Sumra Bari
Shamal Lalvani
Leandros Stefanopoulos
Sean Woodward
M. M. Block
Aggelos K. Katsaggelos
Hans C. Breiter
|
+
PDF
Chat
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Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation
|
2022
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Qiqin Dai
Fengqiang Li
Oliver Cossairt
Aggelos K. Katsaggelos
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Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings
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2022
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Emanuel A. Azcona
Byoung-Woo Kim
Nicole L. Vike
Sumra Bari
Shamal Lalvani
Leandros Stefanopoulos
Sean Woodward
M. M. Block
Aggelos K. Katsaggelos
Hans C. Breiter
|
+
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POSYDON: A General-Purpose Population Synthesis Code with Detailed Binary-Evolution Simulations
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2022
|
Tassos Fragos
Jeff J. Andrews
Simone S. Bavera
C. P. L. Berry
S. B. Coughlin
Aaron Dotter
Prabin Giri
Vicky Kalogera
Aggelos K. Katsaggelos
Konstantinos Kovlakas
|
+
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medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
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2022
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Amil Dravid
Florian Schiffers
Boqing Gong
Aggelos K. Katsaggelos
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Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
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2022
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Amil Dravid
Florian Schiffers
Yunan Wu
Oliver Cossairt
Aggelos K. Katsaggelos
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Compressive Ptychography using Deep Image and Generative Priors
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2022
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Semih Barutcu
DoÄa GĂŒrsoy
Aggelos K. Katsaggelos
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Denoising Fast X-Ray Fluorescence Raster Scans of Paintings
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2022
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Henry Chopp
Alicia C. McGeachy
Matthias Alfeld
Oliver Cossairt
Marc Walton
Aggelos K. Katsaggelos
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Discriminative Dimensionality Reduction using Deep Neural Networks for Clustering of LIGO Data
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2022
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Sara Bahaadini
Yunan Wu
S. B. Coughlin
M. Zevin
Aggelos K. Katsaggelos
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Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?
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2022
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Bingjie
XĂŒ
Yunan Wu
Pengxiao Hao
Marc Vermeulen
Alicia C. McGeachy
Kate SmithâMiles
Katherine Eremin
Georgina Rayner
Giovanni Verri
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A Deep Generative Approach to Oversampling in Ptychography
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2022
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Semih Barutcu
Aggelos K. Katsaggelos
DoÄa GĂŒrsoy
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Event-Driven Tactile Learning with Location Spiking Neurons
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2022
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Peng Kang
Srutarshi Banerjee
Henry Chopp
Aggelos K. Katsaggelos
Oliver Cossairt
|
+
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Boost Event-Driven Tactile Learning with Location Spiking Neurons
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2022
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Peng Kang
Srutarshi Banerjee
Henry Chopp
Aggelos K. Katsaggelos
Oliver Cossairt
|
+
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BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
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2022
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Jennifer J. Sun
Pierre Karashchuk
Amil Dravid
Serim Ryou
Sonia Fereidooni
John C. Tuthill
Aggelos K. Katsaggelos
Bingni W. Brunton
Georgia Gkioxari
Ann R. Kennedy
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+
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Linear Regression
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2022
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Reza Borhani
Soheila Borhani
Aggelos K. Katsaggelos
|
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PDF
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Can deep learning assist automatic identification of layered pigments from XRF data?
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2022
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Bingjie Xu
Yunan Wu
Pengxiao Hao
Marc Vermeulen
Alicia C. McGeachy
K.M. Smith
Katherine Eremin
Georgina Rayner
Giovanni Verri
Florian Willomitzer
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Linear Classification
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2022
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Reza Borhani
Soheila Borhani
Aggelos K. Katsaggelos
|
+
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Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks.
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2021
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Amil Dravid
Aggelos K. Katsaggelos
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+
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Visual Explanations for Convolutional Neural Networks via Latent Traversal
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2021
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Amil Dravid
Aggelos K. Katsaggelos
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+
PDF
Chat
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Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling
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2021
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Srutarshi Banerjee
Zihao W. Wang
Henry Chopp
Oliver Cossairt
Aggelos K. Katsaggelos
|
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PDF
Chat
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Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and Regularization
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2021
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Prasan Shedligeri
Florian Schiffers
Semih Barutcu
Pablo Ruiz
Aggelos K. Katsaggelos
Oliver Cossairt
|
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PDF
Chat
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Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
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2021
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Merlin A. Nau
Florian Schiffers
Yunhao Li
Bingjie Xu
Andreas Maier
Jack Tumblin
Marc Walton
Aggelos K. Katsaggelos
Florian Willomitzer
Oliver Cossairt
|
+
PDF
Chat
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Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
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2021
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S. Soni
C. P. L. Berry
S. B. Coughlin
Mahboobeh Harandi
Corey Jackson
Kevin Crowston
Carsten Ăsterlund
Oli Patane
Aggelos K. Katsaggelos
Laura Trouille
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+
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Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
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2021
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Prasan Shedligeri
Florian Schiffers
Semih Barutcu
Pablo Ruiz
Aggelos K. Katsaggelos
Oliver Cossairt
|
+
PDF
Chat
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An Adaptive Video Acquisition Scheme for Object Tracking and Its Performance Optimization
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2021
|
Srutarshi Banerjee
Henry Chopp
Juan G. Serra
Hao Yang
Oliver Cossairt
Aggelos K. Katsaggelos
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Removing Blocking Artifacts in Video Streams Using Event Cameras.
|
2021
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Henry Chopp
Srutarshi Banerjee
Oliver Cossairt
Aggelos K. Katsaggelos
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Analyzing Brain Morphology in Alzheimerâs Disease Using Discriminative and Generative Spiral Networks
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2021
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Emanuel A. Azcona
Pierre Besson
Yunan Wu
Ajay S. Kurani
S. Kathleen Bandt
Todd B. Parrish
Aggelos K. Katsaggelos
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Adaptive Illumination based Depth Sensing using Deep Learning.
|
2021
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Qiqin Dai
Fengqiang Li
Oliver Cossairt
Aggelos K. Katsaggelos
|
+
PDF
Chat
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Snapshot Compressive Imaging: Theory, Algorithms, and Applications
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2021
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Xin Yuan
David J. Brady
Aggelos K. Katsaggelos
|
+
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An Adaptive Video Acquisition Scheme for Object Tracking and its Performance Optimization
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2021
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Srutarshi Banerjee
Henry Chopp
Juan G. Serra
Hao Yang
Oliver Cossairt
Aggelos K. Katsaggelos
|
+
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A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices
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2021
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Srutarshi Banerjee
Henry Chopp
Jianping Zhang
Zihao W. Wang
Oliver Cossairt
Aggelos K. Katsaggelos
|
+
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Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks
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2021
|
Amil Dravid
Aggelos K. Katsaggelos
|
+
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Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
|
2021
|
Prasan Shedligeri
Florian Schiffers
Semih Barutcu
Pablo D. Ruiz
Aggelos K. Katsaggelos
Oliver Cossairt
|
+
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Removing Blocking Artifacts in Video Streams Using Event Cameras
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2021
|
Henry Chopp
Srutarshi Banerjee
Oliver Cossairt
Aggelos K. Katsaggelos
|
+
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Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation
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2021
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Qiqin Dai
Fengqiang Li
Oliver Cossairt
Aggelos K. Katsaggelos
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E3D: Event-Based 3D Shape Reconstruction.
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2020
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Alexis Baudron
Zihao W. Wang
Oliver Cossairt
Aggelos K. Katsaggelos
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+
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Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
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2020
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Pablo Morales-Ălvarez
Pablo Ruiz
Scott Coughlin
Rafael Molina
Aggelos K. Katsaggelos
|
+
PDF
Chat
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A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models
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2020
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Santiago LĂłpez-Tapia
Alice Lucas
Rafael Molina
Aggelos K. Katsaggelos
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Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling.
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2020
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Srutarshi Banerjee
Zihao W. Wang
Henry Chopp
Oliver Cossairt
Aggelos K. Katsaggelos
|
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Quadtree Driven Lossy Event Compression
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2020
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Srutarshi Banerjee
Zihao W. Wang
Henry Chopp
Oliver Cossairt
Aggelos K. Katsaggelos
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+
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Examining the Benefits of Capsule Neural Networks
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2020
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Arjun Punjabi
Jonas Schmid
Aggelos K. Katsaggelos
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Interpretation of Brain Morphology in Association to Alzheimerâs Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
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2020
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Emanuel A. Azcona
Pierre Besson
Yunan Wu
Arjun Punjabi
Adam Martersteck
Amil Dravid
Todd B. Parrish
S. Kathleen Bandt
Aggelos K. Katsaggelos
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2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
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2020
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Haoyu Wei
Florian Schiffers
Tobias WĂŒrfl
Daming Shen
Daniel Kim
Aggelos K. Katsaggelos
Oliver Cossairt
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E3D: Event-Based 3D Shape Reconstruction
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2020
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Alexis Baudron
Zihao W. Wang
Oliver Cossairt
Aggelos K. Katsaggelos
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Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling
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2020
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Srutarshi Banerjee
Zihao W. Wang
Henry Chopp
Oliver Cossairt
Aggelos K. Katsaggelos
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Examining the Benefits of Capsule Neural Networks
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2020
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Arjun Punjabi
Jonas Schmid
Aggelos K. Katsaggelos
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Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction
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2019
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Qiqin Dai
Henry Chopp
Ămeline Pouyet
Oliver Cossairt
Marc Walton
Aggelos K. Katsaggelos
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Neuroimaging modality fusion in Alzheimerâs classification using convolutional neural networks
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2019
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Arjun Punjabi
Adam Martersteck
Yanran Wang
Todd B. Parrish
Aggelos K. Katsaggelos
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Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
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2019
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Pablo Morales-Ălvarez
Pablo Ruiz
S. B. Coughlin
Rafael Molina
Aggelos K. Katsaggelos
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DeepBinaryMask: Learning a binary mask for video compressive sensing
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2019
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Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
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Event-Driven Video Frame Synthesis
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2019
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Zihao W. Wang
Weixin Jiang
Kuan He
Boxin Shi
Aggelos K. Katsaggelos
Oliver Cossairt
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Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
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2019
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Ali Bahrami Rad
Morteza Zabihi
Zheng Zhao
Moncef Gabbouj
Aggelos K. Katsaggelos
Simo SÀrkkÀ
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Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning
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2019
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S. B. Coughlin
Sara Bahaadini
Neda Rohani
M. Zevin
Oli Patane
Mahboobeh Harandi
Corey Jackson
Vahid Noroozi
Sarah Allen
J. S. Areeda
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+
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Event-driven Video Frame Synthesis
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2019
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Zihao W. Wang
Weixin Jiang
Kuan He
Boxin Shi
Aggelos K. Katsaggelos
Oliver Cossairt
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+
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Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
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2019
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Alice Lucas
Santiago LĂłpez-Tapia
Rafael Molina
Aggelos K. Katsaggelos
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PDF
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Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia OâKeeffeâs Paintings
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2019
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Johanna Salvant
Marc Walton
Dale Kronkright
Chia-Kai Yeh
Fengqiang Li
Oliver Cossairt
Aggelos K. Katsaggelos
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Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks.
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2019
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Alice Lucas
Santiago Lopez Tapia
Rafael Molina
Aggelos K. Katsaggelos
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Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks
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2019
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Alice Lucas
Santiago LĂłpez-Tapia
Rafael Molina
Aggelos K. Katsaggelos
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+
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Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
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2019
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Pablo Morales-Ălvarez
Pablo Ruiz Fabo
S. B. Coughlin
Rafael Molina
Aggelos K. Katsaggelos
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+
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Event-driven Video Frame Synthesis
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2019
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Zihao W. Wang
Weixin Jiang
Kuan He
Boxin Shi
Aggelos K. Katsaggelos
Oliver Cossairt
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+
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Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
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2019
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Ali Bahrami Rad
Morteza Zabihi
Zheng Zhao
Moncef Gabbouj
Aggelos K. Katsaggelos
Simo SÀrkkÀ
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+
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Computational multifocal microscopy
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2018
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Kuan He
Zihao W. Wang
Xiang Huang
Xiaolei Wang
Seunghwan Yoo
Pablo Ruiz
Itay Gdor
Alan Selewa
Nicola Ferrier
Norbert F. Scherer
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+
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An Interior Point Method for Nonnegative Sparse Signal Reconstruction
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2018
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Xiang Huang
Kuan He
Seunghwan Yoo
Oliver Cossairt
Aggelos K. Katsaggelos
Nicola Ferrier
Mark Hereld
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PDF
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Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
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2018
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Alice Lucas
Aggelos K. Katsaggelos
Santiago Lopez-Tapuia
Rafael Molina
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PDF
Chat
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Direct: Deep Discriminative Embedding for Clustering of Ligo Data
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2018
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Sara Bahaadini
Neda Rohani
Aggelos K. Katsaggelos
Vahid Noroozi
S. B. Coughlin
M. Zevin
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PDF
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Efficient Video Object Segmentation via Network Modulation
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2018
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Linjie Yang
Yanran Wang
Xuehan Xiong
Shuicheng Yan
Aggelos K. Katsaggelos
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DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data
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2018
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Sara Bahaadini
Vahid Noroozi
Neda Rohani
S. B. Coughlin
M. Zevin
Aggelos K. Katsaggelos
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PDF
Chat
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Particle tracking and extended object imaging by interferometric super resolution microscopy
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2018
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Itay Gdor
Xiaolei Wang
Matthew K. Daddysman
Mark Hereld
Oliver Cossairt
Aggelos K. Katsaggelos
Rosemarie Wilton
Norbert F. Scherer
SeungâHwan Yoo
Nicola Ferrier
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Particle Tracking and Extended Object Imaging by Interferometric Super Resolution Microscopy.
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2018
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Itay Gdor
Seunghwan Yoo
X. Wang
Matthew K. Daddysman
Rosemarie Wilton
Nicola Ferrier
Mark Hereld
Oliver
Cossairt
Aggelos K. Katsaggelos
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3D Snapshot Microscopy of Extended Objects
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2018
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Xiang Huang
Alan Selewa
Xiaolei Wang
Matthew K. Daddysman
Itay Gdor
Rosemarie Wilton
Kenneth Kemner
Seunghwan Yoo
Aggelos K. Katsaggelos
Kuan He
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+
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Efficient Video Object Segmentation via Network Modulation
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2018
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Linjie Yang
Yanran Wang
Xuehan Xiong
Shuicheng Yan
Aggelos K. Katsaggelos
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Computational multifocal microscopy
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2018
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Kuan He
Zihao W. Wang
Xiang Huang
Xiaolei Wang
Seunghwan Yoo
Pablo Ruiz
Itay Gdor
Alan Selewa
Nicola Ferrier
Norbert F. Scherer
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+
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DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data
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2018
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Sara Bahaadini
Vahid Noroozi
Neda Rohani
S. B. Coughlin
M. Zevin
Aggelos K. Katsaggelos
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+
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Particle Tracking and Extended Object Imaging by Interferometric Super Resolution Microscopy
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2018
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Itay Gdor
SeungâHwan Yoo
X. Wang
Matthew K. Daddysman
Rosemarie Wilton
Nicola Ferrier
Mark Hereld
Oliver
Cossairt
Aggelos K. Katsaggelos
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PDF
Chat
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Deep fully-connected networks for video compressive sensing
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2017
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Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
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PDF
Chat
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Approximate equiangular tight frames for compressed sensing and CDMA applications
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2017
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Evaggelia Tsiligianni
Lisimachos P. Kondi
Aggelos K. Katsaggelos
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Deep Multi-view Models for Glitch Classification
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2017
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Sara Bahaadini
Neda Rohani
S. B. Coughlin
M. Zevin
Vicky Kalogera
Aggelos K. Katsaggelos
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Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.
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2017
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Nima Dehmamy
Neda Rohani
Aggelos K. Katsaggelos
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+
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Deriving optimal weights in deep neural networks
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2017
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Nima Dehmamy
Neda Rohani
Aggelos K. Katsaggelos
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+
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Separation of time scales and direct computation of weights in deep neural networks
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2017
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Nima Dehmamy
Neda Rohani
Aggelos K. Katsaggelos
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PDF
Chat
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Deep multi-view models for glitch classification
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2017
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Sara Bahaadini
Neda Rohani
S. B. Coughlin
M. Zevin
Vicky Kalogera
Aggelos K. Katsaggelos
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PDF
Chat
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Robust and Low-Rank Representation for Fast Face Identification With Occlusions
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2017
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Michael Iliadis
Haohong Wang
Rafael Molina
Aggelos K. Katsaggelos
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PDF
Chat
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Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science
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2017
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M. Zevin
Scott Coughlin
Sara Bahaadini
Emre Besler
Neda Rohani
Sarah Allen
M. Cabero
Kevin Crowston
Aggelos K. Katsaggelos
Shane L. Larson
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Compressive holographic video
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2017
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Zihao W. Wang
Leonidas Spinoulas
Kuan He
Lei Tian
Oliver Cossairt
Aggelos K. Katsaggelos
Huaijin Chen
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Global hard thresholding algorithms for joint sparse image representation and denoising
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2017
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Reza Borhani
Jeremy Watt
Aggelos K. Katsaggelos
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+
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Separation of time scales and direct computation of weights in deep neural networks
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2017
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Nima Dehmamy
Neda Rohani
Aggelos K. Katsaggelos
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+
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Deep Multi-view Models for Glitch Classification
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2017
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Sara Bahaadini
Neda Rohani
S. B. Coughlin
M. Zevin
Vicky Kalogera
Aggelos K. Katsaggelos
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+
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Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings
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2017
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Johanna Salvant
Marc Walton
Dale Kronkright
Chia-Kai Yeh
Fengqiang Li
Oliver Cossairt
Aggelos K. Katsaggelos
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+
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DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
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2016
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Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
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+
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Fundamental matrix factorizations and the pseudo-inverse
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2016
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Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
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+
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Fundamentals of numerical optimization
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2016
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Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
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+
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Advanced gradient schemes
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2016
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Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
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+
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Kernels, backpropagation, and regularized cross-validation
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2016
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Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
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+
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Basics of vector calculus
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2016
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Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
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+
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Convex geometry
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2016
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Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
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+
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Deep Fully-Connected Networks for Video Compressive Sensing
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2016
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Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
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+
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Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization
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2016
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Reza Borhani
Jeremy Watt
Aggelos K. Katsaggelos
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+
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Deep Fully-Connected Networks for Video Compressive Sensing
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2016
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Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
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+
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DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
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2016
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Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
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+
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Bayesian Simultaneous Sparse Approximation With Smooth Signals
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2013
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Martin Luessi
S. Derin Babacan
Rafael Molina
Aggelos K. Katsaggelos
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PDF
Chat
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Drosophila eye nuclei segmentation based on graph cut and convex shape prior
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2013
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Jin Qi
Binbing Wang
NicolĂĄs PelĂĄez
L Rebay
Richard W. Carthew
Aggelos K. Katsaggelos
LuıÌs A. Nunes Amaral
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PDF
Chat
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Sparse Bayesian Methods for Low-Rank Matrix Estimation
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2012
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S. Derin Babacan
Martin Luessi
Rafael Molina
Aggelos K. Katsaggelos
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Sparse Bayesian Methods for Low-Rank Matrix Estimation
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2011
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S. Derin Babacan
Martin Luessi
Rafael Molina
Aggelos K. Katsaggelos
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+
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Low-Resolution Image Formation Models
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2007
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Aggelos K. Katsaggelos
Rafael Molina
Javier Mateos
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+
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Cross-validation And Maximum Likelihood Space Varying Regularized Image Restoration
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2005
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Henry Nicole GonzĂĄlezâRamĂrez
N.P. Galatsanos
Aggelos K. Katsaggelos
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PDF
Chat
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Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations
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2004
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Salvador Villena
J. Abad
Rafael Molina
Aggelos K. Katsaggelos
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Bayesian image estimation from an incomplete set of blurred, undersampled low resolution images
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2003
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Javier Mateos
Miguel Vega
Rafael Molina
Aggelos K. Katsaggelos
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Scale hyperparameter estimation for GGMRF prior models with application to SPECT images
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2003
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Ana Isabel GarcĂa LĂłpez
Rafael Molina
Aggelos K. Katsaggelos
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+
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Maximum likelihood image identification and restoration based on the EM algorithm
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2003
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Aggelos K. Katsaggelos
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+
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Regularized edge detection
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2003
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Aggelos K. Katsaggelos
B.J. Sullivan
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+
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A general formulation of the weighted smoothing functional for regularized image restoration
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2002
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Moon Gi Kang
Aggelos K. Katsaggelos
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+
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A jointly optimal fractal/DCT compression scheme
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2002
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G. Melnikov
Aggelos K. Katsaggelos
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+
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A non uniform segmentation optimal hybrid fractal/DCT image compression algorithm
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2002
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G. Melnikov
Aggelos K. Katsaggelos
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+
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Hyperparameter estimation in image restoration problems with partially known blurs
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2002
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N.P. Galatsanos
Vladimir Z. MesaroviÄ
Rafael Molina
Aggelos K. Katsaggelos
Javier Mateos
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+
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Hierarchical Bayesian image restoration from partially known blurs
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2000
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Nikolaos Galatsanos
Vladimir Z. MesaroviÄ
Rafael Molina
Aggelos K. Katsaggelos
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Optical flow estimation from noisy data using differential techniques
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1999
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Chun-Jen Tsai
N.P. Galatsanos
Aggelos K. Katsaggelos
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+
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Bayesian and regularization methods for hyperparameter estimation in image restoration
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1999
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Rafael Molina
Aggelos K. Katsaggelos
Javier Mateos
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+
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On the encoding of the anchor frame in video coding
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1997
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Lisimachos P. Kondi
Aggelos K. Katsaggelos
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+
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<title>Globally optimal smoothing functional for edge-enhancing regularized image restoration</title>
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1996
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Moon Gi Kang
Aggelos K. Katsaggelos
Kyu Tae Park
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+
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Spatially adaptive iterative algorithm for the restoration of astronomical images
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1995
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Aggelos K. Katsaggelos
Moon Gi Kang
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PDF
Chat
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General choice of the regularization functional in regularized image restoration
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1995
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Moon Gi Kang
Aggelos K. Katsaggelos
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+
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Regularized constrained total least squares image restoration
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1995
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Vladimir Z. MesaroviÄ
N.P. Galatsanos
Aggelos K. Katsaggelos
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+
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<title>Hierarchical Bayesian approach to image restoration and the iterative evaluation of the regularization parameter</title>
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1994
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Rafael Molina
Aggelos K. Katsaggelos
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+
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<title>Regularized iterative image restoration based on an iteratively updated convex smoothing functional</title>
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1993
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Moon Gi Kang
Aggelos K. Katsaggelos
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+
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Iterative evaluation of the regularization parameter in regularized image restoration
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1992
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Aggelos K. Katsaggelos
Moon Gi Kang
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+
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Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation
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1992
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N.P. Galatsanos
Aggelos K. Katsaggelos
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+
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An Analysis of Regularized Linear Image Recovery
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1992
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N.P. Galatsanos
Aggelos K. Katsaggelos
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+
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<title>Properties of different estimates of the regularizing parameter for the least-squares image restoration problem</title>
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1991
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N.P. Galatsanos
Aggelos K. Katsaggelos
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+
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Cross-validation and other criteria for estimating the regularizing parameter
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1991
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N.P. Galatsanos
Aggelos K. Katsaggelos
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+
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Image Estimation Using 2D Noncausal Gauss-Markov Random Field Models
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1991
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Aggelos K. Katsaggelos
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+
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Properties of different estimates of the regularizing parameter for the least squares image restoration problem
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1991
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N.P. Galatsanos
Aggelos K. Katsaggelos
|