{"total":368,"rows":[{"id":"2108.08810","title":"Do Vision Transformers See Like Convolutional Neural Networks?","created":"2021-08-19","cited_by_count":675,"area":null},{"id":"2304.12620","title":"Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation","created":"2023-04-25","cited_by_count":490,"area":null},{"id":"2111.14791","title":"Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis","created":"2021-11-29","cited_by_count":422,"area":null},{"id":"2102.09508","title":"Domain Adaptation for Medical Image Analysis: A Survey","created":"2021-02-18","cited_by_count":352,"area":null},{"id":"2101.05224","title":"Big Self-Supervised Models Advance Medical Image Classification","created":"2021-01-13","cited_by_count":320,"area":null},{"id":"2305.17100","title":"BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks","created":"2023-05-26","cited_by_count":201,"area":"mllm"},{"id":"2101.12037","title":"BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data","created":"2021-01-28","cited_by_count":199,"area":null},{"id":"2212.04690","title":"Benchmarking Self-Supervised Learning on Diverse Pathology Datasets","created":"2022-12-09","cited_by_count":150,"area":null},{"id":"2109.15222","title":"Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization","created":"2021-09-30","cited_by_count":116,"area":null},{"id":"2105.13381","title":"Recent advances and clinical applications of deep learning in medical image analysis","created":"2021-05-27","cited_by_count":104,"area":null},{"id":"2110.02095","title":"Exploring the Limits of Large Scale Pre-training","created":"2021-10-05","cited_by_count":104,"area":null},{"id":"2105.11333","title":"Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training","created":"2021-05-24","cited_by_count":96,"area":"mllm"},{"id":"2206.04041","title":"Neural Collapse: A Review on Modelling Principles and Generalization","created":"2022-06-08","cited_by_count":95,"area":null},{"id":"2304.06131","title":"UniverSeg: Universal Medical Image Segmentation","created":"2023-04-12","cited_by_count":91,"area":null},{"id":"2110.13100","title":"Parameter Prediction for Unseen Deep Architectures","created":"2021-10-25","cited_by_count":89,"area":null},{"id":"2212.06470","title":"Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining","created":"2022-12-13","cited_by_count":88,"area":null},{"id":"2302.13861","title":"Differentially Private Diffusion Models Generate Useful Synthetic Images","created":"2023-02-27","cited_by_count":86,"area":"diffusion"},{"id":"2204.10836","title":"Federated Learning Enables Big Data for Rare Cancer Boundary Detection","created":"2022-04-22","cited_by_count":84,"area":null},{"id":"2103.12718","title":"Self-Supervised Pretraining Improves Self-Supervised Pretraining","created":"2021-03-23","cited_by_count":82,"area":null},{"id":"2308.07898","title":"A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision","created":"2023-08-15","cited_by_count":78,"area":"mllm"},{"id":"2109.08685","title":"Self-supervised learning methods and applications in medical imaging analysis: A survey","created":"2021-09-17","cited_by_count":77,"area":null},{"id":"2204.11716","title":"Masked Image Modeling Advances 3D Medical Image Analysis","created":"2022-04-25","cited_by_count":72,"area":null},{"id":"2107.13807","title":"FREE: Feature Refinement for Generalized Zero-Shot Learning","created":"2021-07-29","cited_by_count":67,"area":null},{"id":"2209.15517","title":"Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study","created":"2022-09-30","cited_by_count":66,"area":"mllm"},{"id":"2305.00293","title":"Polyp-SAM: Transfer SAM for Polyp Segmentation","created":"2023-04-29","cited_by_count":64,"area":null},{"id":"2211.13976","title":"Expanding Small-Scale Datasets with Guided Imagination","created":"2022-11-25","cited_by_count":62,"area":null},{"id":"2203.01825","title":"What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors","created":"2022-03-02","cited_by_count":61,"area":null},{"id":"2108.09038","title":"Is it Time to Replace CNNs with Transformers for Medical Images?","created":"2021-08-20","cited_by_count":60,"area":null},{"id":"2212.04629","title":"Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation","created":"2022-12-09","cited_by_count":59,"area":null},{"id":"2103.05121","title":"Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles","created":"2021-03-08","cited_by_count":58,"area":null},{"id":"2201.05867","title":"Transferability in Deep Learning: A Survey","created":"2022-01-15","cited_by_count":57,"area":null},{"id":"2307.12577","title":"PRIOR: Prototype Representation Joint Learning from Medical Images and Reports","created":"2023-07-24","cited_by_count":55,"area":null},{"id":"2312.07381","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image","created":"2023-12-12","cited_by_count":48,"area":null},{"id":"2302.01735","title":"Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective","created":"2023-02-03","cited_by_count":43,"area":null},{"id":"2105.02221","title":"How Fine-Tuning Allows for Effective Meta-Learning","created":"2021-05-05","cited_by_count":41,"area":null},{"id":"2410.17146","title":"LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging","created":"2024-10-22","cited_by_count":41,"area":null},{"id":"2205.09723","title":"Robust and Efficient Medical Imaging with Self-Supervision","created":"2022-05-19","cited_by_count":40,"area":null},{"id":"2311.09847","title":"Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model","created":"2023-11-16","cited_by_count":40,"area":null},{"id":"2102.03897","title":"Self-supervised driven consistency training for annotation efficient histopathology image analysis","created":"2021-02-07","cited_by_count":39,"area":null},{"id":"2102.12903","title":"Self-Tuning for Data-Efficient Deep Learning","created":"2021-02-25","cited_by_count":39,"area":null},{"id":"2101.05913","title":"Supervised Transfer Learning at Scale for Medical Imaging","created":"2021-01-14","cited_by_count":38,"area":null},{"id":"2105.10305","title":"Correlated Input-Dependent Label Noise in Large-Scale Image Classification","created":"2021-05-19","cited_by_count":37,"area":null},{"id":"2303.10720","title":"Trainable Projected Gradient Method for Robust Fine-tuning","created":"2023-03-19","cited_by_count":37,"area":null},{"id":"2106.10189","title":"Adversarial Training Helps Transfer Learning via Better Representations","created":"2021-06-18","cited_by_count":36,"area":null},{"id":"2112.00496","title":"Revisiting the Transferability of Supervised Pretraining: an MLP Perspective","created":"2021-12-01","cited_by_count":36,"area":null},{"id":"2106.15434","title":"Zoo-Tuning: Adaptive Transfer from a Zoo of Models","created":"2021-06-29","cited_by_count":35,"area":null},{"id":"2301.04644","title":"Does progress on ImageNet transfer to real-world datasets?","created":"2023-01-11","cited_by_count":35,"area":null},{"id":"2108.10048","title":"How Transferable Are Self-supervised Features in Medical Image Classification Tasks?","created":"2021-08-23","cited_by_count":33,"area":null},{"id":"2306.02416","title":"Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation","created":"2023-06-04","cited_by_count":33,"area":null},{"id":"2103.11163","title":"An Empirical Framework for Domain Generalization in Clinical Settings","created":"2021-03-20","cited_by_count":32,"area":null},{"id":"2306.09328","title":"WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings","created":"2023-06-15","cited_by_count":28,"area":null},{"id":"2107.09405","title":"DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer","created":"2021-07-20","cited_by_count":27,"area":null},{"id":"2305.04933","title":"Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial","created":"2023-05-07","cited_by_count":27,"area":null},{"id":"2306.16925","title":"MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset","created":"2023-06-29","cited_by_count":26,"area":null},{"id":"2106.05418","title":"Probing transfer learning with a model of synthetic correlated datasets","created":"2021-06-09","cited_by_count":25,"area":null},{"id":"2105.04051","title":"Aggregating From Multiple Target-Shifted Sources","created":"2021-05-09","cited_by_count":24,"area":null},{"id":"2108.05067","title":"Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning","created":"2021-08-11","cited_by_count":24,"area":null},{"id":"2211.12612","title":"Transfer Learning for Contextual Multi-armed Bandits","created":"2022-11-22","cited_by_count":24,"area":null},{"id":"2303.00609","title":"Unsupervised Pathology Detection: A Deep Dive Into the State of the Art","created":"2023-03-01","cited_by_count":24,"area":null},{"id":"2305.02644","title":"Neuralizer: General Neuroimage Analysis without Re-Training","created":"2023-05-04","cited_by_count":24,"area":null},{"id":"2409.03868","title":"Few-shot Adaptation of Medical Vision-Language Models","created":"2024-09-05","cited_by_count":24,"area":"mllm"},{"id":"2102.12191","title":"DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques","created":"2021-02-24","cited_by_count":23,"area":null},{"id":"2103.00429","title":"Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models","created":"2021-02-28","cited_by_count":22,"area":null},{"id":"2211.09233","title":"Prompt Tuning for Parameter-efficient Medical Image Segmentation","created":"2022-11-16","cited_by_count":22,"area":null},{"id":"2109.00267","title":"The Impact of Reinitialization on Generalization in Convolutional Neural Networks","created":"2021-09-01","cited_by_count":20,"area":null},{"id":"2308.04431","title":"When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations","created":"2023-08-08","cited_by_count":18,"area":null},{"id":"2108.11346","title":"Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral","created":"2021-08-25","cited_by_count":17,"area":null},{"id":"2302.13602","title":"The Role of Pre-training Data in Transfer Learning","created":"2023-02-27","cited_by_count":17,"area":null},{"id":"2303.17051","title":"Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation","created":"2023-03-29","cited_by_count":17,"area":null},{"id":"2111.11926","title":"An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction","created":"2021-11-23","cited_by_count":16,"area":null},{"id":"2212.01893","title":"Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering","created":"2022-12-04","cited_by_count":16,"area":null},{"id":"2102.05543","title":"Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning","created":"2021-02-10","cited_by_count":15,"area":null},{"id":"2208.00781","title":"Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods","created":"2022-07-26","cited_by_count":15,"area":null},{"id":"2108.01899","title":"Generic Neural Architecture Search via Regression","created":"2021-08-04","cited_by_count":14,"area":null},{"id":"2105.06986","title":"Evaluating the Robustness of Self-Supervised Learning in Medical Imaging","created":"2021-05-14","cited_by_count":13,"area":null},{"id":"2202.05735","title":"SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography","created":"2022-02-11","cited_by_count":13,"area":null},{"id":"2205.09904","title":"Deep transfer learning for image classification: a survey","created":"2022-05-20","cited_by_count":13,"area":null},{"id":"2303.07034","title":"Pretrained ViTs Yield Versatile Representations For Medical Images","created":"2023-03-13","cited_by_count":13,"area":null},{"id":"2103.01938","title":"Medical Imaging and Machine Learning","created":"2021-03-02","cited_by_count":12,"area":null},{"id":"2112.03916","title":"BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models","created":"2021-12-07","cited_by_count":12,"area":null},{"id":"2203.11490","title":"SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images","created":"2022-03-22","cited_by_count":12,"area":"distill"},{"id":"2301.12636","title":"Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays","created":"2023-01-30","cited_by_count":12,"area":null},{"id":"2106.00116","title":"Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images","created":"2021-05-31","cited_by_count":11,"area":null},{"id":"2206.08222","title":"Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency","created":"2022-06-16","cited_by_count":11,"area":null},{"id":"2302.04032","title":"A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions","created":"2023-02-08","cited_by_count":11,"area":null},{"id":"2103.03048","title":"Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems","created":"2021-03-04","cited_by_count":10,"area":null},{"id":"2202.07184","title":"On the Origins of the Block Structure Phenomenon in Neural Network Representations","created":"2022-02-15","cited_by_count":10,"area":null},{"id":"2205.08399","title":"How do Variational Autoencoders Learn? Insights from Representational Similarity","created":"2022-05-17","cited_by_count":10,"area":null},{"id":"2210.06980","title":"Probabilistic Integration of Object Level Annotations in Chest X-ray Classification","created":"2022-10-13","cited_by_count":10,"area":null},{"id":"2210.13654","title":"Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning","created":"2022-10-24","cited_by_count":10,"area":null},{"id":"2302.05043","title":"A Review of Predictive and Contrastive Self-supervised Learning for Medical Images","created":"2023-02-10","cited_by_count":10,"area":null},{"id":"2103.10825","title":"Variational Knowledge Distillation for Disease Classification in Chest X-Rays","created":"2021-03-19","cited_by_count":9,"area":"distill"},{"id":"2107.01337","title":"CT Image Harmonization for Enhancing Radiomics Studies","created":"2021-07-03","cited_by_count":9,"area":null},{"id":"2202.12312","title":"Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies","created":"2022-02-24","cited_by_count":9,"area":null},{"id":"2205.04230","title":"RCMNet: A deep learning model assists CAR-T therapy for leukemia","created":"2022-05-06","cited_by_count":9,"area":null},{"id":"2206.08439","title":"OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology","created":"2022-06-16","cited_by_count":9,"area":null},{"id":"2212.00261","title":"Task Discovery: Finding the Tasks that Neural Networks Generalize on","created":"2022-12-01","cited_by_count":9,"area":null},{"id":"2510.23415","title":"Towards Generalisable Foundation Models for Brain MRI","created":"2025-10-27","cited_by_count":9,"area":null},{"id":"2104.01641","title":"TATL: Task Agnostic Transfer Learning for Skin Attributes Detection","created":"2021-04-04","cited_by_count":8,"area":null},{"id":"2203.01933","title":"Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations","created":"2022-03-02","cited_by_count":8,"area":null}],"next_cursor":"100"}