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Medical Imaging

989 directly classified papers

Papers per year

Papers

Implicit Modeling of Non-rigid Objects with Cross-Category Signals AAAI 2024
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation CVPR 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology CVPR 2024
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024
A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning CVPR 2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos CVPR 2024
Rotation-Agnostic Image Representation Learning for Digital Pathology CVPR 2024
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface AAAI 2024
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation WACV 2024
One-Prompt to Segment All Medical Images CVPR 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation AAAI 2024
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction NIPS 2024
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology WACV 2024
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals NIPS 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NIPS 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NIPS 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NIPS 2024
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data NIPS 2024
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images NIPS 2024
Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification INTERSPEECH 2024
MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder WACV 2024
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis NIPS 2024
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology NIPS 2024