Johan Öfverstedt

2 papers · 2020–2024 · 2 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

MIDL (1) NeurIPS (1)

Top co-authors

Håkan Ahlström (1) Nouman Ahmad (1) Joel Kullberg (1) Elisabeth Wetzer (1) Jiahao Lu (1) Sambit Tarai (1) Göran Bergström (1) Carolina Wählby (1) Joakim Lindblad (1) Nicolas Pielawski (1)

Research topics

Deep Learning (2) Machine Learning (2) Computer Vision (1) Healthcare & Medicine (1) Architectures (1) Clinical (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

representation learning (1) contrastive learning (1) image registration (1) image representation (1) multi-modal image (1) computed tomography (1) noise contrastive estimation (1) multi-modal image registration (1) rotational equivariance (1) cross-sectional area (1) grad-cam (1) resnet50 (1) uncertainty-aware deep regression (1) visceral adipose tissue (1)

Papers

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies MIDL 2024 CoMIR: Contrastive Multimodal Image Representation for Registration NeurIPS 2020