Title
Segment Anything Model for Medical Image Analysis: an Experimental Study Maciej A. Mazurowski Haoyu Dong Han Gu Jichen Yang Nicholas Konz Yixin Zhang MedIm VLM 117 508 0 20 Apr 2023
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging Erum Mushtaq Yavuz Faruk Bakman Jie Ding A. Avestimehr FedML 75 8 0 18 Apr 2023
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets Sheng He Rina Bao Jingpeng Li J. Stout A. Bjørnerud P. E. Grant Yangming Ou VLM 135 75 0 18 Apr 2023
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble Jiahua Dong Guohua Cheng Yue Zhang Chengtao Peng Yu Song Ruofeng Tong Lanfen Lin Yen-Wei Chen 66 0 0 14 Apr 2023
UniverSeg: Universal Medical Image Segmentation V. Butoi Jose Javier Gonzalez Ortiz Tianyu Ma M. Sabuncu John Guttag Adrian Dalca 92 87 0 12 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification Han Yang Weijian Huang Jiarun Liu Cheng Li Shanshan Wang CLL 66 4 0 12 Apr 2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Yong-quan Xia SSL 101 43 0 07 Apr 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation A. Celaya B. Rivière David T. Fuentes 33 6 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 203 14 0 29 Mar 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels Zifu Wang Teodora Popordanoska J. Bertels Robin Lemmens Matthew B. Blaschko 60 10 0 28 Mar 2023
Label-Free Liver Tumor Segmentation Qixing Hu Yixiong Chen Junfei Xiao Shuwen Sun Jieneng Chen Alan Yuille Zongwei Zhou VLM 59 60 0 27 Mar 2023
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation Heng Cai Shumeng Li Lei Qi Qian Yu Yinghuan Shi Yang Gao 76 22 0 23 Mar 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation Yi Lin Xiao Fang Dong Zhang Kwang-Ting Cheng Hao Chen MedIm 230 4 0 23 Mar 2023
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation Ho Hin Lee Quan Liu Shunxing Bao Qi Yang Xin Yu L. Cai Thomas Z. Li Yuankai Huo X. Koutsoukos Bennett A. Landman 62 14 0 10 Mar 2023
Structure-aware registration network for liver DCE-CT images Peng Xue Jingyang Zhang Lei Ma Mianxin Liu Yuning Gu Jia-Bin Huang Feihong Liua Yongsheng Pan Xiaohuan Cao Dinggang Shen MedIm 43 6 0 08 Mar 2023
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation Xiaoyu Liu Linhao Qu Ziyue Xie Jiayue Zhao Yonghong Shi Zhijian Song 73 7 0 01 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 53 12 0 20 Feb 2023
Multi-Modal Evaluation Approach for Medical Image Segmentation Seyed Mohammad Reza Modaresi A. Osmani Mohammadreza Razzazi A. Chibani 67 1 0 08 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation A. Celaya B. Rivière David T. Fuentes MedIm 64 9 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 116 7 0 07 Feb 2023
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity H. Du Qihua Dong Yan Xu J. Liao 75 13 0 04 Feb 2023
Understanding metric-related pitfalls in image analysis validation Annika Reinke M. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Notzel ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul F. Jäger Lena Maier-Hein 96 59 0 03 Feb 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective Chenyu You Weicheng Dai Yifei Min Fenglin Liu David Clifton S. Kevin Zhou Lawrence H. Staib James S Duncan 92 70 0 03 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 67 15 0 28 Jan 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 75 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 138 211 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 85 54 0 02 Jan 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu UQCV 84 4 0 01 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 Menze Marie Piraud 72 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 79 9 0 16 Dec 2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 79 1 0 13 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 76 21 0 04 Dec 2022
Active learning using adaptable task-based prioritisation Shaheer U. Saeed João Ramalhinho Mark A. Pinnock Ziyi Shen Yunguan Fu ... D. Barratt Stephen P. Pereira Brian R. Davidson Matthew J. Clarkson Yipeng Hu 86 7 0 03 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 111 33 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 77 12 0 27 Nov 2022
Learning from partially labeled data for multi-organ and tumor segmentation Yutong Xie Jianpeng Zhang Yong-quan Xia Chunhua Shen MedIm ViT 83 20 0 13 Nov 2022
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT Jae Won Choi 71 4 0 11 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 87 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 Xiwei Xu Ningbo Zhao Huibin Nie Zezhong Ye Joshua Lin Yiyi Hui Xiangchun Liu 28 1 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 65 11 0 26 Oct 2022
CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans Omar S. Ali Alexandre Bône Caterina Accardo Omar Belkouchi Marc-Michel Rohé E. Vibert I. Vignon-Clementel MedIm 58 1 0 15 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 56 4 0 12 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 127 51 0 09 Oct 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen Yutong Bai Siyu Huang Yongyi Lu Bihan Wen Alan Yuille Zongwei Zhou 66 24 0 05 Oct 2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels Chenyu You Weicheng Dai Fenglin Liu Yifei Min Haoran Su Xiaoran Zhang Xiaoxiao Li David Clifton Lawrence H. Staib James S. Duncan 153 53 0 27 Sep 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 116 0 0 25 Sep 2022
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions Dong Zhang Yi Lin Hao Chen Zhuotao Tian Xin Yang Jinhui Tang Kwang-Ting Cheng VLM 103 12 0 21 Sep 2022
Efficient liver segmentation with 3D CNN using computed tomography scans Khaled Humady Yasmeen Al-Saeed Nabila Eladawi A. Elgarayhi Mohammed M Elmogy M. Sallah MedIm 24 1 0 28 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 77 66 0 13 Aug 2022
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation Shuchao Pang Anan Du M. Orgun Yan Wang Quan Z. Sheng Shoujin Wang Xiaoshui Huang Zhewen Yu 83 15 0 29 Jul 2022