Michael A. Jacobs

4 papers · 2020–2025 · 1 venue · across top CS/AI venues

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Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)

Venues

MIDL (4)

Top co-authors

Vishwa Sanjay Parekh (3) Vladimir braverman (3) Guangyao Zheng (2) Steven Rowe (1) Bocchieri Alex E. (1) Nikhil Shah (1) Samson Zhou (1) Ang Li (1) Florence Doo (1) Jeffrey Leal (1)

Research topics

Machine Learning (3) Reinforcement Learning (3) Methods (3) Artificial Intelligence (2) Application Areas (2) Learning Types (2) Natural Language Processing (1) Applications (1) Core AI (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1)

Keywords

federated learning (2) deep reinforcement learning (2) landmark localization (2) multi-task learning (1) multi-label classification (1) privacy-preserving learning (1) magnetic resonance imaging (1) experience replay (1) brain tumor segmentation (1) imaging modalities (1) class-heterogeneous learning (1) out of distribution (1) modality invariant (1) anatomical landmark (1) lifelong deep reinforcement learning (1) coreset compression (1) report labeling (1) asynchronous decentralized federated lifelong learning (1) catastrophic forgetting (1)

Papers

Federated Class-Heterogeneous Report Labeling with Surgical Aggregation MIDL 2025 Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers MIDL 2024 Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging MIDL 2023 Multitask radiological modality invariant landmark localization using deep reinforcement learning MIDL 2020