6 papers · 1 filter
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…
EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function
Elias Stenhede, Joanna Sulkowska, Eivind Bjørkan Orstad +2
We introduce EchoXFlow, a clinical echocardiography dataset for learning from ultrasound in its native acquisition geometry rather than from scan-converted Cartesian videos. Existi…
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…
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…
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research
Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar
Millions of clinical ECGs exist only as paper scans, making them unusable for modern automated diagnostics. We introduce a fully automated, modular framework that converts scanned…
ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar
We present ENSAM (Equivariant, Normalized, Segment Anything Model), a lightweight and promptable model for universal 3D medical image segmentation. ENSAM combines a SegResNet-based…