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Medical Imaging

1,231 papers

Papers per year

9
11
70
352
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'15
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Papers

Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains INTERSPEECH 2023
Whisper Encoder features for Infant Cry Classification INTERSPEECH 2023
Generating high-resolution 3D real-time MRI of the vocal tract INTERSPEECH 2023
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds INTERSPEECH 2023
CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation WACV 2023
DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations WACV 2023
Expert-Defined Keywords Improve Interpretability of Retinal Image Captioning WACV 2023
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics NIPS 2022
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis NIPS 2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification NIPS 2022
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification NIPS 2022
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis NIPS 2022
ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography NIPS 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology NIPS 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein NIPS 2022
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation NIPS 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology NIPS 2022
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images NIPS 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NIPS 2022
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice NIPS 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation NIPS 2022
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis AAAI 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction AAAI 2022
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation AAAI 2022