Title
Few-shot Class-incremental Learning for Cross-domain Disease Classification Han Yang Weijian Huang Jiarun Liu Cheng Li Shanshan Wang CLL 34 4 0 12 Apr 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation A. Celaya B. Rivière David T. Fuentes 16 4 0 05 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 66 13 0 29 Mar 2023
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism Haopeng Kuang Dingkang Yang Shunli Wang Xiaoying Wang Lihua Zhang MedIm 35 11 0 20 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation A. Celaya B. Rivière David T. Fuentes MedIm 28 8 0 08 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 35 6 0 07 Feb 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans Jieneng Chen Yingda Xia Jiawen Yao K. Yan Jianpeng Zhang ... Xin Chen Jingren Zhou Alan Yuille Zai-De Liu Ling Zhang ViT MedIm 33 15 0 28 Jan 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 37 7 0 19 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 39 194 0 02 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis Hong-Yu Zhou Chi-Ken Lu Chaoqi Chen Sibei Yang Yizhou Yu 42 52 0 02 Jan 2023
Approaching Peak Ground Truth Florian Kofler J. Wahle Ivan Ezhov S. J. Wagner Rami Al-Maskari ... Jan Kirschke C. Zimmer Benedikt Wiestler Bjoern H. Menze Marie Piraud 29 9 0 31 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 30 6 0 16 Dec 2022
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering D. M. Nguyen Hoangvu Nguyen M. T. N. Truong T. Cao Binh Duc Nguyen Nhat Ho Paul Swoboda Shadi Albarqouni P. Xie Daniel Sonntag SSL 24 21 0 04 Dec 2022
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution Wentong Li Wenyu Liu Jianke Zhu Miaomiao Cui Risheng Yu Xia Hua Lei Zhang ISeg 29 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 38 12 0 27 Nov 2022
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT Jae Won Choi 29 4 0 11 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 28 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 19 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 30 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 29 152 0 28 Jul 2022
COBRA: Cpu-Only aBdominal oRgan segmentAtion E. Henderson Dónal M. McSweeney A. Green 14 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 29 60 0 19 Jul 2022
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Kristoffer Wickstrøm Eirik Agnalt Ostmo Keyur Radiya Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen SSL 23 13 0 11 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 21 4 0 22 Jun 2022
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation Yong-Jin Liu Fei Yang Yidong Yang GAN MedIm 27 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 38 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 38 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 19 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 32 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 26 68 0 28 Feb 2022
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers Georg Hille Shubham Agrawal Pavan Tummala C. Wybranski M. Pech A. Surov S. Saalfeld ViT MedIm 19 26 0 26 Jan 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 30 17 0 15 Jan 2022
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 24 61 0 01 Dec 2021
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements Franz Thaler Christian Payer Horst Bischof Darko Štern 27 5 0 26 Nov 2021
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 32 43 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 25 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 185 651 0 27 Oct 2021
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation Nicolae-Cătălin Ristea A. Miron O. Savencu Mariana-Iuliana Georgescu N. Verga Fahad Shahbaz Khan Radu Tudor Ionescu ViT MedIm 43 20 0 12 Oct 2021
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya Zhang Xin Chen Qi Tian 29 5 0 07 Sep 2021
Efficient Medical Image Segmentation Based on Knowledge Distillation Dian Qin Jiajun Bu Zhe Liu Xin Shen Sheng Zhou Jingjun Gu Zhihong Wang Lei Wu Hui-Fen Dai 30 129 0 23 Aug 2021
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation Ziyuan Zhao Zeyu Ma Yanjie Liu Zeng Zeng P. Chow 35 8 0 15 Aug 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth Bo Zhou Chi Liu James S. Duncan MedIm 57 18 0 12 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation Hao Zheng Jun Han Hongxiao Wang Lin Yang Zhuo Zhao Chaoli Wang Danny Chen 23 23 0 10 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 41 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 66 951 0 10 Jun 2021
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks Dario Augusto Borges Oliveira GAN MedIm 16 0 0 01 Jun 2021