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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.LG2026

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI

Santhosh Parampottupadam, Melih Coşğun, Sarthak Pati +7

The paper proposes a federated learning framework that adjusts differential privacy noise based on each healthcare institution's compliance level, allowing lower‑compliance sites t…

cs.CV2026

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

Yannick Kirchhoff, Maximilian Rokuss, Daniel Philipp Mertens +5

Tracking tumor lesions across serial CT scans is essential for oncological response assessment. Existing automated methods face a fundamental trade-off: end-to-end trackers achieve…

cs.CV2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan +81

Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obt…

cs.CV2026

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT

Marawan Elbatel, Mohamed Ghonim, Jiaji Mao +62

Automated segmentation of liver lesions on non-contrast computed tomography (NCCT) is clinically important but fundamentally challenging, particularly in low-resource settings acro…

cs.CV2025

CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series

Nico Albert Disch, Saikat Roy, Constantin Ulrich +5

Forecasting how 3D medical scans evolve over time is important for disease progression, treatment planning, and developmental assessment. Yet existing models either rely on a singl…

cs.CV2025

MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI

Benjamin Hamm, Yannick Kirchhoff, Maximilian Rokuss +1

The ODELIA Breast MRI Challenge 2025 addresses a critical issue in breast cancer screening: improving early detection through more efficient and accurate interpretation of breast M…