3 papers
cs.CV2026
LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation
Sebastian Aas, Elias Stenhede, Arian Ranjbar
RECIST diameter measurements are widely used for tumor response assessment, but they provide only a limited 2D description of lesion extent. We present LETT-NeXt, a lightweight REC…
cs.CV2026
Biomarker-Based Pretraining for Chagas Disease Screening in Electrocardiograms
Elias Stenhede, Arian Ranjbar
Chagas disease screening via ECGs is limited by scarce and noisy labels in existing datasets. We propose a biomarker-based pretraining approach, where an ECG feature extractor is f…
cs.CV2025
Lite ENSAM: a lightweight cancer segmentation model for 3D Computed Tomography
Agnar Martin Bjørnstad, Elias Stenhede, Arian Ranjbar
Accurate tumor size measurement is a cornerstone of evaluating cancer treatment response. The most widely adopted standard for this purpose is the Response Evaluation Criteria in S…