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"

25 / 75 papers shown

Title
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 45 41 0 07 Jul 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation Chia-Ju Chen Kerstin Hammernik Cheng Ouyang C. Qin Wenjia Bai Daniel Rueckert OOD 17 20 0 02 Jul 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhen Zhang Wei-min Li Yizhou Yu 19 48 0 03 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 574 0 27 May 2021
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 33 11 0 07 Apr 2021
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI Reza Shirkavand Sana Ayromlou Soroush Farghadani M. Tahaei Fattane Pourakpour Bahareh Siahlou Z. Khodakarami M. Rohban M. Fatehi Hamid R. Rabiee 33 1 0 18 Mar 2021
Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI V. Couteaux Mathilde Trintignac O. Nempont G. Pizaine A. Vlachomitrou P. Valette L. Milot Isabelle Bloch 19 3 0 18 Jan 2021
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies Rohit Jena Sumedha Singla Kayhan Batmanghelich 30 5 0 13 Jan 2021
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices Shu Zhen Zhang Jincheng Xu Yu-Chun Chen Jiechao Ma Zihao Li Yizhou Wang Yizhou Yu MedIm 25 18 0 16 Dec 2020
Aggregative Self-Supervised Feature Learning from a Limited Sample Jiuwen Zhu Yuexiang Li S. Kevin Zhou SSL 27 0 0 14 Dec 2020
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images Wenhui Lei Wei Xu Ran Gu Haoyuan Fu Shaoting Zhang Guotai Wang 54 27 0 13 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Li Sun Ke Yu Kayhan Batmanghelich SSL 32 23 0 11 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation Jianpeng Zhang Yutong Xie Yan Wang Yong-quan Xia SSeg MedIm 24 88 0 28 Nov 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
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 22 30 0 25 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 26 86 0 11 Oct 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis Jannis Born Nina Wiedemann G. Brändle Charlotte Buhre Bastian Alexander Rieck Karsten M. Borgwardt 34 45 0 13 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 625 0 02 Aug 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis Xiaomeng Li M. Jia Md Tauhidul Islam Lequan Yu Lei Xing 18 109 0 21 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chia-Ju Chen Turkay Kart Huaqi Qiu Daniel Rueckert 25 205 0 20 Jul 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation Xing Tao Yuexiang Li Wenhui Zhou Kai Ma Yefeng Zheng 19 67 0 17 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 18 104 0 15 Jul 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 24 65 0 14 Jul 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 33 751 0 27 Aug 2019