Jacob Jaremko

3 papers · 2021–2026 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver

Venues

AISTATS (1) MICCAI (1) MIDL (1)

Top co-authors

Abhilash Hareendranathan (2) Russell Greiner (1) Xuebin Qin (1) Abhilash Rakkunedeth (1) Roberto Vega (1) Pouneh Gorji (1) Jeevesh Kapur (1) Zichen Zhang (1) Assefa Wahd (1) Md Jaber Al Nahian (1)

Research topics

Computer Vision (2) Deep Learning (2) Domain-Specific (2) Learning Types · Deep Learning (2) Healthcare & Medicine (1) Machine Learning (1) Clinical (1) Core Methods (1) Learning Types · Machine Learning (1) Models (1)

Keywords

image classification (1) vision transformer (1) model calibration (1) knowledge distillation (1) deep learning (1) medical image classification (1) ultrasound imaging (1) deep neural network (1) foundation model (1) small dataset (1) medical diagnosis (1) probabilistic label (1) calibrated prediction (1) point-of-care ultrasound (1)

Papers

Domain-Constrained Distillation of DINOv3 into a Lightweight Foundation Model Toward Point-of-Care Ultrasound MIDL 2026 Time-Contrastive Pretraining for In-Context Image and Video Segmentation MICCAI 2025 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021