Lotte Ewals

According to our database, Lotte Ewals authored at least 4 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging.

Pieter C. Gort, Lotte Ewals, Marion Tops-Welten, Cris H. B. Claessens, Joost Nederend, Fons van der Sommen

CoRR, April, 2026

2025

Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits.

Terese A. E. Thornblad, Lotte Ewals, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen

Comput. Biol. Medicine, 2025

Artificial Intelligence and radiomics models for the diagnosis and prognosis of peritoneal metastases on imaging: a systematic review and meta-analysis.

Lotte Ewals, Marion Tops-Welten, Cris H. B. Claessens, Jurgen M. J. Piek, Irene E. G. van Hellemond, Fons van der Sommen, Max J. Lahaye, Ignace H. J. T. de Hingh, Misha Luyer, Joost Nederend

Comput. Biol. Medicine, 2025

2023

Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma.

Christiaan G. A. Viviers, Mark Ramaekers, M. M. Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter H. N. de With, Misha Luyer, Fons van der Sommen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023