Title
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
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs Wenhui Cui H. Akrami Anand A. Joshi Richard M. Leahy 30 0 0 16 Dec 2022
Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders Jongseong Jang Daeun Kyung Seunghyeon Kim Honglak Lee Kyunghoon Bae Edward Choi LM&MA MedIm 32 10 0 14 Dec 2022
Accelerating Self-Supervised Learning via Efficient Training Strategies Mustafa Taha Koccyiugit Timothy M. Hospedales Hakan Bilen SSL 10 8 0 11 Dec 2022
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets Mingu Kang Heon Song Seonwook Park Donggeun Yoo Sérgio Pereira 13 129 0 09 Dec 2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning Kai Ma Siyuan He Pengcheng Xi Ashkan Ebadi Stéphane Tremblay Alexander Wong MedIm 30 1 0 06 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
Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis Yonghao Li Tao Zhou Kelei He Yi Zhou Dinggang Shen ViT MedIm 25 22 0 02 Dec 2022
Spatio-Temporal Crop Aggregation for Video Representation Learning Sepehr Sameni Simon Jenni Paolo Favaro 24 3 0 30 Nov 2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis Sein Kim Namkyeong Lee Junseok Lee Dongmin Hyun Chanyoung Park 33 24 0 28 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
Can we Adopt Self-supervised Pretraining for Chest X-Rays? Arsh Verma Makarand Tapaswi SSL 25 3 0 23 Nov 2022
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI Lingfeng Zhang N. Abdeen Jochen Lang 23 1 0 22 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 24 18 0 16 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
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning Saba Dadsetan Mohsen Hejrati Shandong Wu Somaye Hashemifar OOD 33 0 0 15 Nov 2022
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation Yejia Zhang Xinrong Hu Nishchal Sapkota Yiyu Shi Da Chen SSL 25 3 0 15 Nov 2022
Clinical Contrastive Learning for Biomarker Detection Kiran Kokilepersaud Mohit Prabhushankar Ghassan AlRegib 38 4 0 09 Nov 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading Yijin Huang Junyan Lyu Pujin Cheng Roger Tam Xiaoying Tang ViT MedIm 19 20 0 20 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 28 25 0 17 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models Omiros Pantazis Gabriel J. Brostow Kate E. Jones Oisin Mac Aodha VLM 36 40 0 07 Oct 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen Yutong Bai Siyu Huang Yongyi Lu B. Wen Alan Yuille Zongwei Zhou 14 24 0 05 Oct 2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets Raviteja Vemulapalli Warren Morningstar Philip Mansfield Hubert Eichner K. Singhal Arash Afkanpour Bradley Green FedML 39 2 0 30 Sep 2022
VAESim: A probabilistic approach for self-supervised prototype discovery Matteo Ferrante T. Boccato Simeon E. Spasov A. Duggento N. Toschi 13 4 0 25 Sep 2022
Exploring Visual Interpretability for Contrastive Language-Image Pre-training Yi Li Hualiang Wang Yiqun Duan Han Xu Xiaomeng Li CLIP VLM 98 25 0 15 Sep 2022
Joint Debiased Representation and Image Clustering Learning with Self-Supervision Shun Zheng JaeEun Nam Emilio Dorigatti Bernd Bischl Shekoofeh Azizi Mina Rezaei SSL 24 0 0 14 Sep 2022
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers Kevin Miao Akash Gokul Raghav Singh Suzanne Petryk Joseph E. Gonzalez Kurt Keutzer Trevor Darrell Colorado Reed ViT MedIm 33 6 0 07 Sep 2022
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications Hyungjun Yoon Hyeong-Tae Cha Hoang C. Nguyen Taesik Gong Sungyeop Lee VLM SSL 32 0 0 02 Sep 2022
Self-Supervised Pretraining for 2D Medical Image Segmentation András Kalapos Bálint Gyires-Tóth 17 31 0 01 Sep 2022
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models Minha Alam R. Yamashita Vignav Ramesh Tejas S. Prabhune Jennifer I. Lim R. Chan J. Hallak T. Leng D. Rubin 20 11 0 24 Aug 2022
Self-Supervised Endoscopic Image Key-Points Matching Manel Farhat Houda Chaabouni A. Ben-Hamadou 12 17 0 24 Aug 2022
Matching Multiple Perspectives for Efficient Representation Learning Omiros Pantazis M. Salvaris SSL 41 0 0 16 Aug 2022
CCRL: Contrastive Cell Representation Learning Ramin Nakhli Amirali Darbandsari H. Farahani A. Bashashati SSL 22 3 0 12 Aug 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images R. Holland Oliver Leingang Hrvoje Bogunović Sophie Riedl L. Fritsche ... U. Schmidt-Erfurth S. Sivaprasad A. Lotery Daniel Rueckert M. Menten 23 9 0 04 Aug 2022
Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection J. M. Ramos Oscar J. Perdomo Fabio A. González 17 4 0 04 Aug 2022
Learning-Based Keypoint Registration for Fetoscopic Mosaicking Alessandro Casella Sophia Bano Francisco Vasconcelos A. David D. Paladini Jan Deprest Elena De Momi L. Mattos S. Moccia Danail Stoyanov 13 3 0 26 Jul 2022
Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis G. Holste Evangelos K. Oikonomou Bobak J. Mortazavi Zhangyang Wang Rohan Khera 27 9 0 23 Jul 2022
Discrete Key-Value Bottleneck Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 26 22 0 22 Jul 2022
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection Meiqi Hu Chen Wu Lefei Zhang SSL 45 57 0 20 Jul 2022
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation B. Felfeliyan A. Hareendranathan G. Kuntze David Cornell Nils D. Forkert Jacob L. Jaremko J. Ronsky 16 18 0 17 Jul 2022
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Kristoffer Wickstrøm Eirik Agnalt Ostmo Keyur Radiya Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen SSL 35 13 0 11 Jul 2022
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning Kleanthis Avramidis M. Rostami Melinda Y. Chang Shrikanth Narayanan 19 5 0 10 Jul 2022
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes T. Emre A. Chakravarty Antoine Rivail Sophie Riedl U. Schmidt-Erfurth Hrvoje Bogunović 26 14 0 30 Jun 2022
Towards Galaxy Foundation Models with Hybrid Contrastive Learning Mike Walmsley I. V. Slijepcevic Micah Bowles A. Scaife VLM 40 16 0 23 Jun 2022
Scalable Neural Data Server: A Data Recommender for Transfer Learning Tianshi Cao Sasha Doubov David Acuna Sanja Fidler 30 6 0 19 Jun 2022
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency Viraj Prabhu Sriram Yenamandra Aaditya K. Singh Judy Hoffman 39 14 0 16 Jun 2022
CASS: Cross Architectural Self-Supervision for Medical Image Analysis Pranav Singh E. Sizikova Jacopo Cirrone OOD 66 8 0 08 Jun 2022
One Hyper-Initializer for All Network Architectures in Medical Image Analysis Fangxin Shang Yehui Yang Dalu Yang Junde Wu Xiaorong Wang Yanwu Xu AI4CE 43 2 0 08 Jun 2022
Integrating Prior Knowledge in Contrastive Learning with Kernel Benoit Dufumier C. Barbano Robin Louiset Edouard Duchesnay Pietro Gori SSL 24 8 0 03 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 33 6 0 01 Jun 2022