Robert Grimm

4 papers · 2014–2025 · 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

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🏆 Keyword Champion (2)

Venues

MIDL (3) EACL (1)

Top co-authors

Heinrich von Busch (3) Bin Lou (2) Dorin Comaniciu (2) Ali Kamen (2) Jingya Liu (1) Antony Nguyen (1) Qingsong Yang (1) Assaf Toledo (1) Kai Geißler (1) Yifan Wang (1)

Research topics

Computer Vision (2) Deep Learning (2) Healthcare & Medicine (2) Analysis (2) Architectures (2) Clinical (2) Artificial Intelligence (1) Machine Learning (1) Core AI (1) Core Methods (1) Learning Types (1)

Keywords

lesion detection (2) deep learning (1) model comparison (1) out-of-distribution detection (1) uncertainty estimation (1) perceptual loss (1) false positive reduction (1) autoencoder reconstruction (1) prostate cancer diagnosis (1) bi-parametric mri (1) breast magnetic resonance imaging (1) prostate cancer progression (1) active surveillance (1) multi-scale foundation model (1) unsupervised learning (1) longitudinal lesion progression (1)

Papers

Multi-centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI MIDL 2025 Predicting Prostate Cancer Progression During Active Surveillance Using Longitudinal bpMRI Scans and A Multi-scale Foundation Model MIDL 2025 Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis MIDL 2022 Annotating by Proving using SemAnTE EACL 2014