Rami Al-Maskari

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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020 Fabian Isensee
Paul F. Jaeger
Simon Kohl
Jens Petersen
Klaus H. Maier‐Hein
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
1
+ PDF Chat Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery 2017 Thomas Schlegl
Philipp Seeböck
Sebastian M. Waldstein
Ursula Schmidt‐Erfurth
Georg Langs
1
+ PDF Chat Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations 2017 Carole H. Sudre
Wenqi Li
Tom Vercauteren
SĂ©bastien Ourselin
M. Jorge Cardoso
1
+ BAGAN: Data Augmentation with Balancing GAN 2018 Giovanni Mariani
Florian Scheidegger
Roxana Istrate
Costas Bekas
A. Cristiano I. Malossi
1
+ PDF Chat The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks 2018 Maxim Berman
Amal Rannen Triki
Matthew B. Blaschko
1
+ PDF Chat Conditional Infilling GANs for Data Augmentation in Mammogram Classification 2018 Eric Hsiao‐Kuang Wu
Kevin Wu
David Cox
William Lotter
1
+ PDF Chat Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN 2018 Heran Yang
Jian Sun
Aaron Carass
Can Zhao
Junghoon Lee
Zongben Xu
Jerry L. Prince
1
+ PDF Chat Generative adversarial network in medical imaging: A review 2019 Yi Xin
Ekta Walia
Paul Babyn
1
+ PDF Chat AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy 2018 Wentao Zhu
Yufang Huang
Liang Zeng
Xuming Chen
Yong Liu
Zhen Qian
Nan Du
Wei Fan
Xiaohui Xie
1
+ Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge 2018 Spyridon Bakas
Mauricio Reyes
Enzo Battistella
Siddhartha Chandra
Huiguang He
Lucas Fidon
Maria Vakalopoulou
Roger Sun
et al.
Éric Deutsch
1
+ PDF Chat Why rankings of biomedical image analysis competitions should be interpreted with care 2018 Lena Maier‐Hein
Matthias Eisenmann
Annika Reinke
Sinan Onogur
Marko Stankovic
Patrick Scholz
Tal Arbel
Hrvoje Bogunović
Andrew P. Bradley
Aaron Carass
1
+ PDF Chat Semi-supervised and Task-Driven Data Augmentation 2019 Krishna Chaitanya
Neerav Karani
Christian F. Baumgartner
Anton S. Becker
Olivio F. Donati
Ender Konukoğlu
1
+ PDF Chat The Unreasonable Effectiveness of Deep Features as a Perceptual Metric 2018 Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
1
+ PDF Chat Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks 2017 Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
1
+ CyCADA: Cycle-Consistent Adversarial Domain Adaptation 2017 Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
1
+ PDF Chat Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network 2018 Zizhao Zhang
Lin Yang
Yefeng Zheng
1
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto MilletarĂŹ
Nassir Navab
Seyed‐Ahmad Ahmadi
1
+ PDF Chat Semantic Image Synthesis With Spatially-Adaptive Normalization 2019 Taesung Park
Ming-Yu Liu
Ting-Chun Wang
Jun-Yan Zhu
1
+ PDF Chat Image-to-Image Translation with Conditional Adversarial Networks 2017 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
1
+ PDF Chat A Three-Player GAN: Generating Hard Samples to Improve Classification Networks 2019 Simon Vandenhende
Bert De Brabandere
Davy Neven
Luc Van Gool
1
+ PDF Chat Pros and cons of GAN evaluation measures 2018 Ali Borji
1
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
1
+ PDF Chat StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation 2018 Yunjey Choi
Minje Choi
Munyoung Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
1
+ PDF Chat Distribution Matching Losses Can Hallucinate Features in Medical Image Translation 2018 Joseph Cohen
Margaux Luck
Sina Honari
1
+ PDF Chat Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks 2017 Seyed Sadegh Mohseni Salehi
Deniz ErdoğmuƟ
Ali Gholipour
1
+ PDF Chat A survey on active learning and human-in-the-loop deep learning for medical image analysis 2021 Samuel Budd
Emma C. Robinson
Bernhard Kainz
1
+ PDF Chat DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis 2019 Hongwei Li
Johannes C. Paetzold
Anjany Sekuboyina
Florian Kofler
Jianguo Zhang
Jan S. Kirschke
Benedikt Wiestler
Bjoern Menze
1
+ PDF Chat Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis 2019 Kumar Abhishek
Ghassan Hamarneh
1
+ Multi-source Domain Adaptation for Semantic Segmentation 2019 Sicheng Zhao
Bo Li
Xiangyu Yue
Yang Gu
Pengfei Xu
Runbo Hu
Hua Chai
Kurt Keutzer
1
+ PDF Chat Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation 2020 Cheng Chen
Qi Dou
Hao Chen
Jing Qin
Pheng‐Ann Heng
1
+ Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective 2020 Ahmad Bin Qasim
Ivan Ezhov
Suprosanna Shit
Oliver Schoppe
Johannes C. Paetzold
Anjany Sekuboyina
Florian Kofler
Jana LipkovĂĄ
Hongwei Li
Bjoern Menze
1
+ PDF Chat Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis 2020 Bingyu Xin
Yifan Hu
Yefeng Zheng
Hongen Liao
1
+ An Unsupervised Information-Theoretic Perceptual Quality Metric 2020 Sangnie Bhardwaj
Ian Fischer
Johannes Ballé
Troy Chinen
1
+ PDF Chat MaskGAN: Towards Diverse and Interactive Facial Image Manipulation 2020 Cheng‐Han Lee
Ziwei Liu
Ling‐Yun Wu
Ping Luo
1
+ PDF Chat Computing the Testing Error Without a Testing Set 2020 Ciprian Corneanu
SĂ©rgio Escalera
Aleix M. Martı́nez
1
+ PDF Chat Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index 2020 Tom Eelbode
Jeroen Bertels
Maxim Berman
Dirk Vandermeulen
Frederik Maes
Raf Bisschops
Matthew B. Blaschko
1
+ PDF Chat GANs for medical image analysis 2020 Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
1
+ The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge 2020 Nicholas Heller
Fabian Isensee
Klaus H. Maier‐Hein
Xiaoshuai Hou
Chunmei Xie
Fengyi Li
Nan Yang
Guangrui Mu
Zhiyong Lin
Miofei Han
1
+ pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis 2020 Alain Jungo
Olivier Scheidegger
Mauricio Reyes
Fabian Balsiger
1
+ PDF Chat Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation 2020 Boris Shirokikh
Alexey Shevtsov
Anvar Kurmukov
Alexandra Dalechina
Egor Krivov
Valery Kostjuchenko
Andrey Golanov
Mikhail Belyaev
1
+ PDF Chat Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks 2018 Lucas Fidon
Wenqi Li
Luis C. GarcĂ­a-Peraza-Herrera
Jinendra Ekanayake
Neil Kitchen
SĂ©bastien Ourselin
Tom Vercauteren
1
+ PDF Chat ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases 2017 Xiaosong Wang
Yifan Peng
Le LĂŒ
Zhiyong Lu
Mohammadhadi Bagheri
Ronald M. Summers
1
+ PDF Chat SEAN: Image Synthesis With Semantic Region-Adaptive Normalization 2020 Peihao Zhu
Rameen Abdal
Yipeng Qin
Peter Wonka
1
+ PDF Chat Free-form tumor synthesis in computed tomography images via richer generative adversarial network 2021 Qiangguo Jin
Hui Cui
Changming Sun
Zhaopeng Meng
Ran Su
1
+ Common Limitations of Image Processing Metrics: A Picture Story 2021 Annika Reinke
Matthias Eisenmann
Minu D. Tizabi
Carole H. Sudre
Tim RĂ€dsch
Michela Antonelli
Tal Arbel
Spyridon Bakas
M. Jorge Cardoso
Veronika Cheplygina
1
+ PDF Chat Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels 2021 Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
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 Pros and cons of GAN evaluation measures: New developments 2021 Ali Borji
1
+ Labeling instructions matter in biomedical image analysis 2022 Tim RĂ€dsch
Annika Reinke
Vivienn Weru
Minu D. Tizabi
Nicholas Schreck
A. Emre Kavur
BĂŒnyamin Pekdemir
Tobias L. Roß
Annette Kopp‐Schneider
Lena Maier‐Hein
1