medical imaging

Learning Nanoscale Motion Patterns of Vesicles in Living Cells CVPR 2020 Learning to Generate Clinically Coherent Chest X-Ray Reports EMNLP 2020 Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020 Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020 MedICaT: A Dataset of Medical Images, Captions, and Textual References EMNLP 2020 Meta Segmentation Network for Ultra-Resolution Medical Images IJCAI 2020 MRI Banding Removal via Adversarial Training NeurIPS 2020 Multi-graph Fusion for Functional Neuroimaging Biomarker Detection IJCAI 2020 Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images CVPR 2020 Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation AAAI 2020 OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation AAAI 2020 On the diminishing return of labeling clinical reports EMNLP 2020 On the limits of cross-domain generalization in automated X-ray prediction MIDL 2020 Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search CVPR 2020 Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​ NeurIPS 2020 PSENet: Psoriasis Severity Evaluation Network AAAI 2020 Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments AAAI 2020 Query-Focused EHR Summarization to Aid Imaging Diagnosis MLHC 2020 Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020 Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. MIDL 2020 Region Focus Network for Joint Optic Disc and Cup Segmentation AAAI 2020 Rethinking Computer-Aided Tuberculosis Diagnosis CVPR 2020 SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis CVPR 2020 Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging MLHC 2020 Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) AAAI 2020