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Medical Imaging

989 directly classified papers

Papers per year

Papers

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities AAAI 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering ACL 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification CVPR 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling CVPR 2024
Diversified and Personalized Multi-rater Medical Image Segmentation CVPR 2024
Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024
Complex Organ Mask Guided Radiology Report Generation WACV 2024
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration CVPR 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NIPS 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning CVPR 2024
DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset WACV 2024
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis NIPS 2024
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation ACL 2024
MedCoT: Medical Chain of Thought via Hierarchical Expert EMNLP 2024
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024
One-Prompt to Segment All Medical Images CVPR 2024
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation WACV 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NIPS 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