Showing 1–20 of 97 results
/ Date/ Name
Jul 20, 2017Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute RecognitionOct 27, 2022UNet-2022: Exploring Dynamics in Non-isomorphic ArchitectureSep 9, 2021Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse ContextsJul 20, 2017Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object DetectorsJul 15, 2020Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image RepresentationsFeb 5, 2024Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingJan 30, 2023Protein Representation Learning via Knowledge Enhanced Primary Structure ModelingJan 30, 2023Advancing Radiograph Representation Learning with Masked Record ModelingNov 4, 2021Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology ReportsAug 11, 2021ConvNets vs. Transformers: Whose Visual Representations are More Transferable?Jan 22, 2024Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation ModelsJan 11, 2023GraVIS: Grouping Augmented Views from Independent Sources for Dermatology AnalysisSep 22, 2017Code Attention: Translating Code to Comments by Exploiting Domain FeaturesJan 2, 2023PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisJun 1, 2023A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnosticsDec 13, 2018When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and DatasetsMar 30, 2021Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical CorrelationJun 3, 2021SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous PerturbationSep 7, 2021nnFormer: Interleaved Transformer for Volumetric SegmentationMay 13, 2024MedVersa: A Generalist Foundation Model for Medical Image Interpretation