Lars Gjesteby

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All published works
Action Title Year Authors
+ PDF Chat Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS) 2024 Nina I. Shamsi
Alec S. Xu
Lars Gjesteby
Laura J. Brattain
+ Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS) 2023 Nina I. Shamsi
Alex S. Xu
Lars Gjesteby
Laura J. Brattain
+ PDF Chat Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment 2020 Adam Michaleas
Lars Gjesteby
M Snyder
David Chavez
Meagan Ash
Matthew A. Melton
Damon G. Lamb
Sara N. Burke
Kevin J. Otto
Lee Kamentsky
+ Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment 2020 Adam Michaleas
Lars Gjesteby
M Snyder
David Chavez
Meagan Ash
Matthew A. Melton
Damon G. Lamb
Sara N. Burke
Kevin J. Otto
Lee Kamentsky
+ Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment 2020 Adam Michaleas
Lars Gjesteby
M Snyder
David E. ChĂĄvez
Meagan Ash
Matthew A. Melton
Damon G. Lamb
Sara N. Burke
Kevin J. Otto
Lee Kamentsky
+ Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising 2018 Chenyu You
Wenxiang Cong
Ge Wang
Qingsong Yang
Hongming Shan
Lars Gjesteby
Guang Li
Shenghong Ju
Zhuiyang Zhang
Zhao Zhen
+ Bibliometric Index for Academic Leadership 2016 Yang Liu
Fengrong Ou
Yan Deng
Bo Wu
Ruxi Liu
Hui Hua
Yuyuan Guan
Rentong Chen
Lars Gjesteby
Jiansheng Yang
+ PDF Chat X-Optogenetics and U-Optogenetics: Feasibility and Possibilities 2015 Rachel Berry
Matthew Getzin
Lars Gjesteby
Ge Wang
+ A Pilot Study on Coupling CT and MRI through Use of Semiconductor Nanoparticles 2014 Matthew Getzin
Lars Gjesteby
Yen‐Jun Chuang
Scott A. McCallum
Wenxiang Cong
Chao Wang
Zhengwei Pan
Guohao Dai
Ge Wang
+ X-optogenetics and U-optogenetics: Feasibility and Possibilities 2014 Rachel Berry
Matthew Getzin
Lars Gjesteby
Ge Wang
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection 2018 Weicheng Kuo
Christian HĂ€ne
Esther L. Yuh
Pratik Mukherjee
Jitendra Malik
2
+ PDF Chat Mask-RCNN and U-Net Ensembled for Nuclei Segmentation 2019 Aarno Oskar Vuola
Saad Ullah Akram
Juho Kannala
2
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 ÖzgĂŒn Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
2
+ PDF Chat Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation 2017 Lin Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
Danny Z. Chen
2
+ PDF Chat MIT SuperCloud portal workspace: Enabling HPC web application deployment 2017 Andrew Prout
William Arcand
David Bestor
Bill Bergeron
Chansup Byun
Vijay Gadepally
Matthew Hubbell
Michael E. Houle
Michael Jones
Peter Michaleas
2
+ PDF Chat 'pMATLAB Parallel MATLAB Library' 2007 Nadya Bliss
Jeremy Kepner
2
+ PDF Chat Advances in Computer Vision 2019 Kohei Arai
Supriya Kapoor
2
+ PDF Chat Does the <i>h</i> index have predictive power? 2007 J. E. Hirsch
1
+ Axiomatic characterization of nonlinear homomorphic means 2004 Ge Wang
Ming Jiang
1
+ PDF Chat A constrained, total-variation minimization algorithm for low-intensity x-ray CT 2011 Emil Y. Sidky
Yuval Duchin
Xiaochuan Pan
Christer Ullberg
1
+ X-ray micro-modulated luminescence tomography (XMLT) 2014 Wenxiang Cong
Fenglin Liu
Chao Wang
Ge Wang
1
+ PDF Chat Low-dose CT reconstruction via edge-preserving total variation regularization 2011 Zhen Tian
Xun Jia
Kehong Yuan
Tinsu Pan
Steve Jiang
1
+ An index to quantify an individual's scientific research output 2005 J. E. Hirsch
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems 2016 Martı́n Abadi
Ashish Agarwal
Paul Barham
Eugene Brevdo
Zhifeng Chen
Craig Citro
Gregory S. Corrado
Andy Davis
Jay B. Dean
Matthieu Devin
1
+ A Perspective on Deep Imaging 2016 Ge Wang
1
+ A Multi-Pass Approach to Large-Scale Connectomics 2016 Yaron Meirovitch
Alexander Matveev
Hayk Saribekyan
David Budden
David Rolnick
Gergely Ódor
Seymour Knowles-Barley
Thouis R. Jones
Hanspeter Pfister
Jeff W. Lichtman
1
+ PDF Chat Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network 2017 Hu Chen
Yi Zhang
Mannudeep K. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
1
+ PDF Chat Deformable Convolutional Networks 2017 Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
1
+ PDF Chat Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss 2018 Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
Xuanqin Mou
Mannudeep K. Kalra
Yi Zhang
Ling Sun
Ge Wang
1
+ Deformable Convolutional Networks 2017 Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
1
+ PDF Chat h-Index research in scientometrics: A summary 2014 Lutz Bornmann
1
+ Dynamic Routing Between Capsules 2017 Sara Sabour
Nicholas Frosst
Geoffrey E. Hinton
1
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
1
+ PDF Chat Brain Tumor Segmentation and Survival Prediction Using 3D Attention UNet 2020 Mobarakol Islam
V. S. Vibashan
V. Jeya Maria Jose
Navodini Wijethilake
Utkarsh Uppal
Hongliang Ren
1
+ PDF Chat ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks 2020 Qilong Wang
Banggu Wu
Pengfei Zhu
Peihua Li
Wangmeng Zuo
Qinghua Hu
1
+ PDF Chat Deep Distance Transform for Tubular Structure Segmentation in CT Scans 2020 Yan Wang
Wei Xu
Fengze Liu
Jieneng Chen
Yuyin Zhou
Wei Shen
Elliot K. Fishman
Alan Yuille
1
+ PDF Chat Self-Supervised Feature Extraction for 3D Axon Segmentation 2020 Tzofi Klinghoffer
Peter Morales
Young-Gyun Park
Nicholas B. Evans
Kwanghun Chung
Laura J. Brattain
1
+ PDF Chat 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network 2018 Hongming Shan
Yi Zhang
Qingsong Yang
Uwe KrĂŒger
Mannudeep K. Kalra
Ling Sun
Wenxiang Cong
Ge Wang
1
+ A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction 2017 Eun‐Hee Kang
Junhong Min
Jong Chul Ye
1
+ PDF Chat DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes 2020 Giles Tetteh
Velizar Efremov
Nils D. Forkert
Matthias Schneider
Jan S. Kirschke
Bruno Weber
Claus Zimmer
Marie Piraud
Bjoern Menze
1
+ PDF Chat Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment 2020 Adam Michaleas
Lars Gjesteby
M Snyder
David Chavez
Meagan Ash
Matthew A. Melton
Damon G. Lamb
Sara N. Burke
Kevin J. Otto
Lee Kamentsky
1
+ PDF Chat Rotate to Attend: Convolutional Triplet Attention Module 2021 Diganta Misra
Trikay Nalamada
Ajay Uppili Arasanipalai
Qibin Hou
1
+ PDF Chat clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation 2021 Suprosanna Shit
Johannes C. Paetzold
Anjany Sekuboyina
Ivan Ezhov
Alexander Unger
Andrey Zhylka
Josien P. W. Pluim
Ulrich Bauer
Bjoern Menze
1
+ PDF Chat TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations 2021 Madeleine K. Wyburd
Nicola K. Dinsdale
Ana I. L. Namburete
Mark Jenkinson
1
+ Improved Training of Wasserstein GANs 2017 Ishaan Gulrajani
Faruk Ahmed
MartĂ­n Arjovsky
Vincent Dumoulin
Aaron Courville
1
+ Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation 2022 Minghui Zhang
Guang‐Zhong Yang
Yun Gu
1
+ Structure-Aware Image Segmentation with Homotopy Warping 2021 Xiaoling Hu
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction 2023 Pierre Rougé
Nicolas Passat
Odyssée Merveille
1
+ 3D Geometric Analysis of Tubular Objects Based on Surface Normal Accumulation 2015 Bertrand Kerautret
Adrien KrĂ€henbĂŒhl
Isabelle Debled-Rennesson
Jacques‐Olivier Lachaud
1
+ PDF Chat The “academic trace” of the performance matrix: A mathematical synthesis of the h‐index and the integrated impact indicator (I3) 2013 Fred Y. Ye
Loet Leydesdorff
1
+ PDF Chat Image Super-Resolution Using Deep Convolutional Networks 2015 Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
1
+ PDF Chat Some variations on the standard theoretical models for the h‐index: A comparative analysis 2015 Chrisovalantis Malesios
1
+ PDF Chat Comparison of the h-index for different fields of research using bootstrap methodology 2012 Chrisovalantis Malesios
Stelios Psarakis
1
+ PDF Chat Predicting results of the research excellence framework using departmental h-index: revisited 2015 Olesya Mryglod
Ralph Kenna
Yurij Holovatch
Bertrand Berche
1