Khaled Saab

4 papers · 2021–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (2) ACL (1) MLHC (1)

Top co-authors

Christopher Re (3) Mayee Chen (2) Sarah Hooper (2) Akshay Chaudhari (1) Pierre Chambon (1) Maya Varma (1) Sabri Eyuboglu (1) Michael Zhang (1) Curtis P. Langlotz (1) Isys Johnson (1)

Research topics

Deep Learning (3) Machine Learning (3) Computer Vision (2) Application Areas (2) Architectures (2) Techniques (2) Healthcare & Medicine (1) Clinical (1) Core AI (1) Core Methods (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

contrastive learning (1) sample efficiency (1) semi-supervised learning (1) domain generalization (1) visual question answering (1) medical imaging (1) multimodal learning (1) medical image segmentation (1) medical image classification (1) time series (1) recurrent neural network (1) vision-language model (1) sequence model (1) neural differential equation (1) continuous-time model (1) spurious feature (1) radiology report generation (1) automated medical image classification (1) radiological image analysis (1) spurious correlation robustness (1)

Papers

A case for reframing automated medical image classification as segmentation NeurIPS 2023 Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity MLHC 2022 ViLMedic: a framework for research at the intersection of vision and language in medical AI ACL 2022 Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers NeurIPS 2021