Tomas Sakinis

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Alexander D. Weston, Panagiotis Korfiatis, Timothy L. Kline et al. · Radiology · 2018 · 349 citations

Medicine, Oncology, Radiology +17

Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images

Naveen Paluru, Aveen Dayal, Håvard Bjørke Jenssen et al. · IEEE Transactions on Neural Networks and Learning Systems · 2021 · 180 citations · Full text

Medicine, Biomedical Engineering, Radiology +16

Interactive segmentation of medical images through fully convolutional neural networks

Tomas Sakinis, Fausto Milletarì, Holger R. Roth et al. · arXiv (Cornell University) · 2019 · 61 citations · Full text

Computing, Biomedical Engineering, Radiology +17

Automated segmentation of magnetic resonance bone marrow signal: a feasibility study

Elisabeth von Brandis, Håvard Bjørke Jenssen, Derk Avenarius et al. · Pediatric Radiology · 2022 · 18 citations · Full text

Medicine, Biomedical Engineering, Radiology +17

Body composition assessment by artificial intelligence from routine computed tomography scans in colorectal cancer: Introducing BodySegAI

Dena Helene Alavi, Tomas Sakinis, Hege Berg Henriksen et al. · JCSM Clinical Reports · 2022 · 15 citations · Full text

Medicine, Oncology, Radiology +17