Title
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution Wentong Li Wenyu Liu Jianke Zhu Miaomiao Cui Risheng Yu Xia Hua Lei Zhang ISeg 24 30 0 03 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images Wei Chen Chen Li Dan Chen Xin Luo MedIm SSL 25 12 0 27 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 26 2 0 01 Nov 2022
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study Zhongyi Zhang Guixia Li Ziqiang Wang Feng Xia Ningbo Zhao Huibin Nie Zezhong Ye Joshua Lin Yiyi Hui Xiangchun Liu 14 0 0 27 Oct 2022
Synthetic Tumors Make AI Segment Tumors Better Qixing Hu Junfei Xiao Yixiong Chen Shuwen Sun Jieneng Chen Alan Yuille Zongwei Zhou MedIm 25 11 0 26 Oct 2022
What can we learn about a generated image corrupting its latent representation? A. Tomczak Aarush Gupta Slobodan Ilic Nassir Navab Shadi Albarqouni GAN MedIm 28 4 0 12 Oct 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 21 151 0 28 Jul 2022
COBRA: Cpu-Only aBdominal oRgan segmentAtion E. Henderson Dónal M. McSweeney A. Green 9 2 0 21 Jul 2022
Box-supervised Instance Segmentation with Level Set Evolution Wentong Li Wenyu Liu Jianke Zhu Miaomiao Cui Xia Hua Lei Zhang ISeg 21 59 0 19 Jul 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 19 4 0 22 Jun 2022
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation Y. Liu Fei Yang Yidong Yang GAN MedIm 14 4 0 18 Jun 2022
Detecting Adversarial Examples in Batches -- a geometrical approach Danush Kumar Venkatesh Peter Steinbach AAML 11 2 0 17 Jun 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 33 58 0 17 Jun 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation Minh-Trieu Tran Viet-Khoa Vo-Ho Ngan T. H. Le 3DPC MedIm 20 13 0 19 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 25 49 0 04 May 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 16 72 0 21 Apr 2022
LifeLonger: A Benchmark for Continual Disease Classification Mohammad Mahdi Derakhshani Ivona Najdenkoska Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring Cees G. M. Snoek 24 31 0 12 Apr 2022
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark Yunhe Gao Mu Zhou Ding Liu Zhennan Yan Shaoting Zhang Dimitris N. Metaxas ViT MedIm 18 68 0 28 Feb 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data Minh-Khoi Tran Loi Ly Binh-Son Hua Ngan Le 3DPC MedIm 23 16 0 15 Jan 2022
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Yuyin Zhou Shih-Cheng Huang Jason Alan Fries Alaa Youssef T. Amrhein ... Imon Banerjee D. Rubin Lei Xing N. Shah M. Lungren 10 42 0 23 Nov 2021
FedCostWAvg: A new averaging for better Federated Learning Leon Mächler Ivan Ezhov Florian Kofler Suprosanna Shit Johannes C. Paetzold T. Loehr Benedikt Wiestler Bjoern H. Menze FedML OOD 19 13 0 16 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 166 647 0 27 Oct 2021
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation Ziyuan Zhao Zeyu Ma Yanjie Liu Zeng Zeng P. Chow 27 8 0 15 Aug 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth Bo Zhou Chi Liu James S. Duncan MedIm 52 18 0 12 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 33 49 0 24 Jun 2021
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images Liping Zhang S. Yu 11 3 0 21 Jun 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 40 947 0 10 Jun 2021
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks Dario Augusto Borges Oliveira GAN MedIm 11 0 0 01 Jun 2021
Hyper-Convolution Networks for Biomedical Image Segmentation Tianyu Ma Adrian V. Dalca M. Sabuncu SSeg 31 14 0 21 May 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network Qiangguo Jin Hui Cui Changming Sun Zhaopeng Meng R. Su GAN MedIm 22 44 0 20 Apr 2021
Unsupervised Medical Image Alignment with Curriculum Learning Mihail Burduja Radu Tudor Ionescu 27 12 0 20 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 26 526 0 18 Feb 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 64 25 0 01 Jan 2021
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Yichi Zhang Qingcheng Liao Lin Yuan He Zhu Jiezhen Xing Jicong Zhang 44 23 0 31 Dec 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 18 290 0 28 Oct 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 26 324 0 28 Oct 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 34 84 0 05 Sep 2020
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism Yosuke Oyama N. Maruyama Nikoli Dryden Erin McCarthy P. Harrington J. Balewski Satoshi Matsuoka Peter Nugent B. Van Essen 3DV AI4CE 24 37 0 25 Jul 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,703 0 18 Mar 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation A. Emre Kavur N. Gezer M. Baris Sinem Aslan Pierre-Henri Conze ... Klaus H. Maier-Hein G. Akar Gözde B. Ünal O. Dicle M. Alper Selver 27 607 0 17 Jan 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017