Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

15 July 2020

Papers citing "Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations"

50 / 61 papers shown

Title
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning Yang Yue Yulin Wang Chenxin Tao Pan Liu Shiji Song Gao Huang MedIm 26 0 0 18 Apr 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images Yihang Liu Lianghua He Y. Wen Longzhen Yang Hongzhou Chen MedIm 34 0 0 15 Apr 2025
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look Yong Zhang Rui Zhu Shifeng Zhang Xu Zhou Shifeng Chen Xiaofan Chen SSL 38 0 0 16 Oct 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin Zikang Xu Yuan Zhong Qiongsong Yao Qi Dou S. Kevin Zhou Xiaoxiao Li VLM 32 12 0 01 Jul 2024
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data Yitong Li Tom Nuno Wolf Sebastian Polsterl Igor Yakushev Dennis M. Hedderich Christian Wachinger 32 1 0 09 Apr 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions Yuting He Fuxiang Huang Xinrui Jiang Yuxiang Nie Minghao Wang Jiguang Wang Hao Chen LM&MA AI4CE 71 27 0 04 Apr 2024
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training Jian Wang Xin Yang X. Jia Wufeng Xue Rusi Chen ... Lian Liu Yan Cao Jianqiao Zhou Dong Ni Ning Gu 32 5 0 18 Feb 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain Amin Karimi Monsefi Payam Karisani Mengxi Zhou Stacey S. Choi Nathan Doble Heng Ji Srinivasan Parthasarathy R. Ramnath 43 5 0 09 Feb 2024
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement Cheng Li Weijian Huang Hao Yang Jiarun Liu Shanshan Wang MedIm 30 4 0 21 Jan 2024
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training Jiamin Chen Xuhong Li Yanwu Xu Mengnan Du Haoyi Xiong 26 2 0 16 Jan 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 27 11 0 26 Dec 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
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning Weijian Huang Cheng Li Hao Yang Jiarun Liu Shanshan Wang MedIm 26 20 0 12 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 18 2 0 05 Sep 2023
Learning Better Contrastive View from Radiologist's Gaze Sheng Wang Zixu Zhuang Xi Ouyang Lichi Zhang Zheren Li Chong Ma Tianming Liu Dinggang Shen Qian Wang MedIm 31 2 0 15 May 2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future Jianing Qiu Lin Li Jiankai Sun Jiachuan Peng Peilun Shi ... Bo Xiao Wu Yuan Ningli Wang Dong Xu Benny P. L. Lo AI4MH LM&MA 42 127 0 21 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya-Qin Zhang Yanfeng Wang Weidi Xie MedIm 44 120 0 27 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 24 27 0 10 Feb 2023
Advancing Radiograph Representation Learning with Masked Record Modeling Hong-Yu Zhou Chenyu Lian Lian-cheng Wang Yizhou Yu MedIm 38 55 0 30 Jan 2023
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis Hong-Yu Zhou Chi-Ken Lu Liansheng Wang Yizhou Yu OOD 14 0 0 11 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 53 0 02 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 21 28 0 21 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 19 14 0 08 Dec 2022
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning Saba Dadsetan Mohsen Hejrati Shandong Wu Somaye Hashemifar OOD 13 0 0 15 Nov 2022
Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection Tommaso Di Noto Meritxell Bach Cuadra Chirine Atat E. Teiga M. Hegi A. Hottinger P. Hagmann J. Richiardi MedIm 17 0 0 18 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 27 73 0 27 Sep 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 27 0 0 25 Sep 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 18 15 0 22 Aug 2022
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging Yixiong Chen Li Liu Jingxia Li Hua Jiang C. Ding Zongwei Zhou MedIm AI4CE 33 7 0 03 Jun 2022
Generalized Supervised Contrastive Learning Jaewon Kim Hyuk-Gi Lee Jooyoung Chang S. Park SSL AILaw 21 1 0 01 Jun 2022
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis Marin Benvcević Marija Habijan Irena Galić A. Pižurica SSL 25 6 0 01 Jun 2022
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions Xinpeng Ding Ziwei Liu X. Li 25 13 0 19 May 2022
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures Edward Vendrow E. Schonfeld ViT MedIm 8 3 0 05 May 2022
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading Or Abramovich Hadas Pizem Jan Van Eijgen Ilan Oren Joshua Melamed Ingeborg Stalmans E. Blumenthal Joachim A. Behar MedIm 15 27 0 02 May 2022
Masked Image Modeling Advances 3D Medical Image Analysis Zekai Chen Devansh Agarwal Kshitij Aggarwal Wiem Safta Samit Hirawat V. Sethuraman Mariann Micsinai Balan Kevin Brown 33 69 0 25 Apr 2022
MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement Pingping Dai Haiming Zhu Shuang Ge Ruihan Zhang Xiang Qian Xi Li Kehong Yuan 11 2 0 22 Apr 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
Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis Yuanfan Guo Canqian Yang Tiancheng Lin Chunxiao Li Rui Zhang Yi Xu 18 5 0 18 Apr 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging M. Taher F. Haghighi Michael B. Gotway Jianming Liang OOD SSL 13 31 0 15 Apr 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions Pingping Dai Licong Dong Ruihan Zhang Haiming Zhu Jie Wu Kehong Yuan MedIm 21 4 0 20 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images Prakash Chandra Chhipa Richa Upadhyay G. Pihlgren Rajkumar Saini Seiichi Uchida Marcus Liwicki SSL MedIm 27 19 0 15 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
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation Srishti Gautam Marina M.-C. Höhne Stine Hansen Robert Jenssen Michael C. Kampffmeyer 11 7 0 10 Jan 2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training Shu Zhen Zhang Zihao Li Hong-Yu Zhou Jiechao Ma Yizhou Yu 32 11 0 05 Jan 2022
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 21 25 0 10 Dec 2021
Which images to label for few-shot medical landmark detection? Quan Quan Qingsong Yao Jun Li S. Kevin Zhou 29 24 0 07 Dec 2021
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning Zheren Li Zhiming Cui Sheng Wang Yuji Qi Xi Ouyang Qitian Chen Yuezhi Yang Zhong Xue D. Shen Jie-Zhi Cheng OOD MedIm 14 38 0 21 Nov 2021
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports Hong-Yu Zhou X. Chen Y. Zhang R. Luo L. Wang Y. Yu MedIm 18 104 0 04 Nov 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong S. Hoi VLM 31 13 0 19 Oct 2021
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts Hong-Yu Zhou Chi-Ken Lu Sibei Yang Xiaoguang Han Yizhou Yu SSL CLL 63 85 0 09 Sep 2021