Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

19 August 2019

Zongwei Zhou

Papers citing "Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis"

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Title
AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI Praveen Shastry Bhawana Sonawane Kavya Mohan Naveen Kumarasami Anandakumar D ... Kaviya SP Kishore Prasath Venkatesh Bargava Subramanian Kalyan Sivasailam Kalyan Sivasailam 43 0 0 14 Mar 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 51 8 0 20 Jan 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition Ziyu Zhou Haozhe Luo M. Taher Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang MedIm 53 0 0 20 Jan 2025
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 46 4 0 30 May 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 34 5 0 24 Apr 2024
Fingerprint Presentation Attack Detector Using Global-Local Model Haozhe Liu Wentian Zhang Feng Liu Haoqian Wu Linlin Shen 31 23 0 20 Feb 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 30 0 0 14 Feb 2024
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation Eytan Kats Jochen G. Hirsch Mattias P. Heinrich SSL 24 0 0 12 Jan 2024
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations Hong Liu Dong Wei Donghuan Lu Xiaoying Tang Liansheng Wang Yefeng Zheng 21 9 0 04 Dec 2023
Generalizing Medical Image Representations via Quaternion Wavelet Networks Luigi Sigillo Eleonora Grassucci A. Uncini Danilo Comminiello MedIm 38 5 0 16 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 28 0 0 10 Oct 2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations S. D. Almeida Carsten T. Lüth T. Norajitra Tassilo Wald Marco Nolden Paul F. Jaeger C. Heussel J. Biederer O. Weinheimer Klaus Maier-Hein 29 7 0 14 Jul 2023
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training Xiaofei Chen Yuting He Cheng Xue Rongjun Ge Shuo Li Guanyu Yang VLM MedIm 29 13 0 14 Jul 2023
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network A. Marcus P. Bentley Daniel Rueckert MedIm 21 9 0 21 Jun 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data L. Boulogne Julian Lorenz Daniel Kienzle Robin Schon K. Ludwig ... C. Russ R. Ionasec Nikos Paragios Bram van Ginneken Marieke Dubois 28 4 0 18 Jun 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
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 32 27 0 10 Feb 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations Chinmay Prabhakar Hongwei Bran Li Jiancheng Yang Suprosana Shit Benedikt Wiestler Bjoern H. Menze ViT MedIm 39 11 0 18 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
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 38 8 0 19 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 34 14 0 08 Dec 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images Hongwei Bran Li Chinmay Prabhakar Suprosanna Shit Johannes C. Paetzold Tamaz Amiranashvili Jianguo Zhang Daniel Rueckert Juan Eugenio Iglesias Benedikt Wiestler Bjoern H. Menze OOD SSL 30 2 0 03 Dec 2022
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation Zixian Su Kai Yao Xi Yang Qiufeng Wang Jie Sun Kaizhu Huang 35 63 0 27 Nov 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
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images Yejia Zhang Nishchal Sapkota Pengfei Gu Yao Peng Hao Zheng Da Chen 39 5 0 16 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 37 59 0 23 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
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions Penghua Zhai Enwei Zhu Baolian Qi Xin Wei Jinpeng Li 24 0 0 23 Aug 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 21 15 0 22 Aug 2022
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder Jonas Dippel Matthias Lenga Thomas Goerttler Klaus Obermayer Johannes Höhne SSL 24 2 0 29 Jul 2022
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction Hanxiao Zhang Xiao Gu Minghui Zhang Weihao Yu Liang Chen Zhexin Wang Feng Yao Yun Gu Guangyao Yang 24 5 0 28 Jul 2022
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease Mehmet Saygin Seyfiouglu Zixuan Liu Pranav Kamath Sadjyot Gangolli Sheng Wang T. Grabowski Linda G. Shapiro MedIm 44 14 0 11 Jul 2022
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network Li Sun K. Yu Kayhan Batmanghelich SSL 21 1 0 06 Jul 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet Nan Wang Shaohui Lin Xiaoxiao Li Ke Li Yunhang Shen Yue Gao Lizhuang Ma ViT MedIm 49 33 0 02 Jun 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation Ziyuan Zhao Wenjing Lu Zeng Zeng Kaixin Xu B. Veeravalli Cuntai Guan 31 8 0 14 May 2022
Longitudinal Self-Supervision for COVID-19 Pathology Quantification Tobias Czempiel C. Rogers Matthias Keicher Magdalini Paschali R. Braren E. Burian Marcus R. Makowski Nassir Navab T. Wendler Seong Tae Kim SSL 25 3 0 21 Mar 2022
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation Linkai Peng Li Lin Pujin Cheng Huaqing He Xiaoying Tang 19 3 0 07 Mar 2022
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images Hong Liu Dong Wei Donghuan Lu Yuexiang Li Kai Ma Liansheng Wang Yefeng Zheng 24 10 0 04 Mar 2022
Relative distance matters for one-shot landmark detection Qingsong Yao Jianji Wang Yihua Sun Quan Quan Heqin Zhu S. Kevin Zhou 15 6 0 03 Mar 2022
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout Yamen Ali Aiham Taleb Marina M.-C. Höhne C. Lippert SSL 3DPC 24 6 0 29 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 177 0 17 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection N. Islam S. Gehlot Zongwei Zhou Michael B. Gotway Jianming Liang OOD 88 11 0 15 Sep 2021
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
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 31 5 0 26 Aug 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 42 45 0 23 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 53 83 0 19 Aug 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions Penghua Zhai Huaiwei Cong Gangming Zhao Chaowei Fang Jinpeng Li Ting Cai Huiguang He 27 10 0 17 Aug 2021
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans Noa Cahan E. Marom S. Soffer Y. Barash Eli Konen Eyal Klang H. Greenspan 42 8 0 26 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 29 23 0 10 Jul 2021