{"list":"other","total":53,"rows":[{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"2011.10566","title":"Exploring Simple Siamese Representation Learning","created":"2020-11-20","cited_by_count":2866},{"id":"2103.03230","title":"Barlow Twins: Self-Supervised Learning via Redundancy Reduction","created":"2021-03-04","cited_by_count":1838},{"id":"1803.07728","title":"Unsupervised Representation Learning by Predicting Image Rotations","created":"2018-03-21","cited_by_count":1591},{"id":"1603.09246","title":"Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles","created":"2016-03-30","cited_by_count":1382},{"id":"2111.09886","title":"SimMIM: A Simple Framework for Masked Image Modeling","created":"2021-11-18","cited_by_count":1153},{"id":"2105.04906","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","created":"2021-05-11","cited_by_count":1057},{"id":"1902.06162","title":"Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey","created":"2019-02-16","cited_by_count":657},{"id":"2011.09157","title":"Dense Contrastive Learning for Self-Supervised Visual Pre-Training","created":"2020-11-18","cited_by_count":512},{"id":"2111.14791","title":"Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis","created":"2021-11-29","cited_by_count":422},{"id":"2206.02647","title":"Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning","created":"2022-06-06","cited_by_count":359},{"id":"2101.05224","title":"Big Self-Supervised Models Advance Medical Image Classification","created":"2021-01-13","cited_by_count":320},{"id":"1908.10454","title":"Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation","created":"2019-08-27","cited_by_count":260},{"id":"2008.09104","title":"A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises","created":"2020-08-02","cited_by_count":231},{"id":"1908.06912","title":"Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis","created":"2019-08-19","cited_by_count":159},{"id":"1806.06397","title":"MedGAN: Medical Image Translation using GANs","created":"2018-06-17","cited_by_count":152},{"id":"2011.13971","title":"Self supervised contrastive learning for digital histopathology","created":"2020-11-27","cited_by_count":146},{"id":"2007.13916","title":"Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases","created":"2020-07-28","cited_by_count":143},{"id":"2006.03829","title":"3D Self-Supervised Methods for Medical Imaging","created":"2020-06-06","cited_by_count":134},{"id":"2008.05571","title":"Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations","created":"2020-08-12","cited_by_count":89},{"id":"2109.08685","title":"Self-supervised learning methods and applications in medical imaging analysis: A survey","created":"2021-09-17","cited_by_count":77},{"id":"1910.02241","title":"Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube","created":"2019-10-05","cited_by_count":76},{"id":"2402.17300","title":"VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis","created":"2024-02-27","cited_by_count":75},{"id":"1907.02757","title":"Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction","created":"2019-07-05","cited_by_count":70},{"id":"2306.11925","title":"LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching","created":"2023-06-20","cited_by_count":60},{"id":"1912.05396","title":"Multimodal Self-Supervised Learning for Medical Image Analysis","created":"2019-12-11","cited_by_count":57},{"id":"2007.11067","title":"Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis","created":"2020-07-21","cited_by_count":47},{"id":"2006.13276","title":"Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images","created":"2020-06-16","cited_by_count":43},{"id":"2007.08826","title":"Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation","created":"2020-07-17","cited_by_count":40},{"id":"2301.00772","title":"PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis","created":"2023-01-02","cited_by_count":40},{"id":"2011.12640","title":"PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation","created":"2020-11-25","cited_by_count":36},{"id":"2101.04909","title":"COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction","created":"2021-01-13","cited_by_count":36},{"id":"2410.23132","title":"Revisiting MAE pre-training for 3D medical image segmentation","created":"2024-10-30","cited_by_count":35},{"id":"1711.09726","title":"Exploiting the potential of unlabeled endoscopic video data with self-supervised learning","created":"2017-11-27","cited_by_count":33},{"id":"2501.11755","title":"A generalizable 3D framework and model for self-supervised learning in medical imaging","created":"2025-01-20","cited_by_count":31},{"id":"1806.05104","title":"Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks","created":"2018-06-13","cited_by_count":30},{"id":"2003.00105","title":"Self-supervised Representation Learning for Ultrasound Video","created":"2020-02-28","cited_by_count":25},{"id":"1708.00367","title":"Self-Supervised Learning for Spinal MRIs","created":"2017-08-01","cited_by_count":24},{"id":"1901.08707","title":"Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data","created":"2019-01-25","cited_by_count":23},{"id":"2308.12394","title":"Self-Supervised Learning for Endoscopic Video Analysis","created":"2023-08-23","cited_by_count":22},{"id":"2307.14725","title":"vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images","created":"2023-07-27","cited_by_count":19},{"id":"2404.13222","title":"Vim4Path: Self-Supervised Vision Mamba for Histopathology Images","created":"2024-04-20","cited_by_count":19},{"id":"2403.16499","title":"Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes","created":"2024-03-25","cited_by_count":17},{"id":"2308.06534","title":"Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging","created":"2023-08-12","cited_by_count":16},{"id":"2012.10160","title":"Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation","created":"2020-12-18","cited_by_count":8},{"id":"2210.11404","title":"Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs","created":"2022-10-20","cited_by_count":8},{"id":"2405.04969","title":"A Review on Discriminative Self-supervised Learning Methods in Computer Vision","created":"2024-05-08","cited_by_count":6},{"id":"2306.00530","title":"CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction","created":"2023-06-01","cited_by_count":4},{"id":"2304.02724","title":"Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound","created":"2023-04-05","cited_by_count":2}],"next_cursor":null}