Title
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya Zhang Xin Chen Qi Tian 29 6 0 07 Sep 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation Chen Shen Pochuan Wang H. Roth Dong Yang Daguang Xu ... C. Fuh Po-Ting Chen Kao-Lang Liu W. Liao K. Mori FedML 16 41 0 19 Aug 2021
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets Shixiang Feng Yuhang Zhou Xiaoman Zhang Ya Zhang Yanfeng Wang 27 11 0 05 Aug 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 29 23 0 10 Jul 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 31 25 0 09 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 46 49 0 24 Jun 2021
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation Tianfei Zhou Liulei Li G. Bredell Jianwu Li E. Konukoglu 27 14 0 20 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 69 951 0 10 Jun 2021
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks Yuanpeng Liu Qinglei Hui Zhiyi Peng S. Gong D. Kong 26 4 0 29 May 2021
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 21 11 0 21 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 44 46 0 20 Apr 2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond Anneke Meyer Suhita Ghosh D. Schindele M. Schostak Sebastian Stober C. Hansen Marko Rak 28 16 0 08 Apr 2021
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support W. Ożga D. Quoc Christof Fetzer FedML 28 4 0 31 Mar 2021
Test-Time Training for Deformable Multi-Scale Image Registration Wentao Zhu Yufang Huang Daguang Xu Zhen Qian Wei Fan Xiaohui Xie 27 24 0 25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 95 1,538 0 18 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 36 53 0 09 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 18 16 0 04 Mar 2021
Unsupervised Medical Image Alignment with Curriculum Learning Mihail Burduja Radu Tudor Ionescu 32 12 0 20 Feb 2021
Benefits of Linear Conditioning with Metadata for Image Segmentation A. Lemay C. Gros Olivier Vincent Yaou Liu Joseph Paul Cohen Julien Cohen-Adad AI4CE 30 6 0 18 Feb 2021
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering Bo Liu Li-Ming Zhan Li Xu Lin Ma Y. Yang Xiao-Ming Wu 36 236 0 18 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 206 894 0 16 Feb 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding D. Bouget André Pedersen J. Vanel H. O. Leira T. Langø 20 27 0 11 Feb 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 35 68 0 07 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 52 23 0 31 Dec 2020
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation Hao Tang Xingwei Liu Kun Han Shanlin Sun Narisu Bai Xuming Chen Qian Huang Yong Liu Xiaohui Xie SSeg MedIm 30 25 0 16 Dec 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Zehui Liao Yong-quan Xia Chunhua Shen 18 47 0 25 Nov 2020
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution Bo Wang Lei Wang Junyang Chen Zhenghua Xu Thomas Lukasiewicz Zhigang Fu 37 7 0 15 Nov 2020
DeepReg: a deep learning toolkit for medical image registration Yunguan Fu N. M. Brown Shaheer U. Saeed Adrià Casamitjana Zachary Michael Cieman Baum ... E. Bonmati Daniel C. Alexander Matthew J. Clarkson Tom Kamiel Magda Vercauteren Yipeng Hu VLM MedIm 22 32 0 04 Nov 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 34 294 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 26 326 0 28 Oct 2020
Deep learning based registration using spatial gradients and noisy segmentation labels Théo Estienne Maria Vakalopoulou Enzo Battistella Alexandre Carré T. Henry Marvin Lerousseau C. Robert Nikos Paragios Therapanacea 29 15 0 21 Oct 2020
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions Yichi Zhang Qingcheng Liao Leiting Ding Jicong Zhang 3DV 26 81 0 13 Oct 2020
Test-time Unsupervised Domain Adaptation Thomas Varsavsky Mauricio Orbes-Arteaga Carole H. Sudre M. Graham P. Nachev M. Jorge Cardoso OOD 21 55 0 05 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
Going to Extremes: Weakly Supervised Medical Image Segmentation H. Roth Ke Wang Ziyue Xu Xiaosong Wang Daguang Xu 19 60 0 25 Sep 2020
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation Yuanfeng Ji Ruimao Zhang Zhuguo Li Jiamin Ren Shaoting Zhang Ping Luo 3DPC 11 23 0 16 Sep 2020
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans Ling Zhang Yu Shi Jiawen Yao Yun Bian Kai Cao D. Jin Jing Xiao Le Lu 19 20 0 24 Aug 2020
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets Rui Huang Yuanjie Zheng Zhiqiang Hu Shaoting Zhang Hongsheng Li 23 50 0 17 Aug 2020
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI C. Russo Sidong Liu A. Di Ieva 33 22 0 17 Aug 2020
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors Ziqiang Li Hong Pan Yaping Zhu •. A. K. Qin 12 20 0 02 Jul 2020
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation Wentao Zhu Can Zhao Wenqi Li H. Roth Ziyue Xu Daguang Xu 3DV 32 18 0 22 Jun 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets K. Yan Jinzheng Cai Adam P. Harrison D. Jin Jing Xiao Le Lu 18 17 0 28 May 2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans Fengze Liu Jinzheng Cai Yuankai Huo Chi-Tung Cheng Ashwin Raju ... Jing Xiao Alan Yuille Le Lu Chien-Hung Liao Adam P. Harrison 3DV 29 21 0 25 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 26 18 0 19 May 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning Xi Yang Ding Xia Taichi Kin Takeo Igarashi 19 71 0 02 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 50 611 0 17 Jan 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu Dong Yang H. Roth Yutong Bai Yixiao Zhang Alan Yuille Daguang Xu 37 106 0 20 Dec 2019
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation Minh H. Vu G. Grimbergen T. Nyholm Tommy Löfstedt SSeg 31 31 0 19 Dec 2019
Reinventing 2D Convolutions for 3D Images Jiancheng Yang Xiaoyang Huang Yi He Jingwei Xu Canqian Yang Guozheng Xu Bingbing Ni 18 11 0 24 Nov 2019
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty K. Hoebel Ken Chang J. Patel Praveer Singh Jayashree Kalpathy-Cramer UQCV 24 7 0 14 Nov 2019