Mark Janse

PHD Candidate - OIO

Strategic program(s):

Biography

Mark is PhD candidate in the group of dr. Kenneth Gilhuijs, working on the LIMA project: Liquid Imaging and biopsies for improved (breast) cancer care. The aim of the project is to personalize cancer care by making better predictions on the effectivity of neoadjuvant chemotherapy.

His academic background is at Eindhoven University of Technology (TU/e). In 2015 he obtained his BSc degree with an award-winning thesis on the detection of early esophageal cancer, supervised by prof. Peter de With and dr. Fons van der Sommen. In 2018 he obtained an MSc degree in Biomedical Engineering and in Electrical Engineering (both cum laude), with a thesis on radiomic analysis of pancreatic cancer, for which he performed research at Radboudumc Nijmegen. For this research he was supervised prof. Josien Pluim, dr. Sveta Zinger and dr. ir. John Hermans.

Strategic program(s):

Contact

mjanse2@umcutrecht.nl

Pure profile

Recent publications

All publications

Predicting response to neoadjuvant chemotherapy with liquid biopsies and multiparametric MRI in patients with breast cancer L. M. Janssen, M. H.A. Janse, B. B.L. Penning de Vries, B. H.M. van der Velden, E. J.M. Wolters-van der Ben, S. M. van den Bosch, A. Sartori, C. Jovelet, M. J. Agterof, D. Ten Bokkel Huinink, E. W. Bouman-Wammes, P. J. van Diest, E. van der Wall, S. G. Elias, K. G.A. Gilhuijs
npj Breast Cancer, 2024, vol. 10

Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head Geke Litjens, Joris P.E.A. Broekmans, Tim Boers, Marco Caballo, Maud H.F. van den Hurk, Dilek Ozdemir, Caroline J. van Schaik, Markus H.A. Janse, Erwin J.M. van Geenen, Cees J.H.M. van Laarhoven, Mathias Prokop, Peter H.N. de With, Fons van der Sommen, John J. Hermans
Diagnostics, 2023, vol. 13

Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden Markus H.A. Janse, Liselore M. Janssen, Bas H.M. van der Velden, Maaike R. Moman, Elian J.M. Wolters-van der Ben, Marc C.J.M. Kock, Max A. Viergever, Paul J. van Diest, Kenneth G.A. Gilhuijs
Journal of Magnetic Resonance Imaging, 2023, vol. 58, p.1739-1749

Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis Avan Suinesiaputra, Charlène A. Mauger, Bharath Ambale-Venkatesh, David A. Bluemke, Josefine Dam Gade, Kathleen Gilbert, Markus Janse, Line Sofie Hald, Conrad Werkhoven, Colin O. Wu, Joao A. C. Lima, Alistair A. Young
Frontiers in cardiovascular medicine, 2022, vol. 8, p.807728

Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI Liselore M. Janssen, Britt B.M. Suelmann, Sjoerd G. Elias, Markus H.A. Janse, Paul J. Van Diest, Elsken Van Der Wall, Kenneth G.A. Gilhuijs
BMJ Open, 2022, vol. 12, p.1-8

Volumetric breast density estimation on MRI using explainable deep learning regression Bas H M van der Velden, Markus H A Janse, Max A A Ragusi, Claudette E Loo, Kenneth G A Gilhuijs
Scientific Reports, 2020, vol. 10

External positions

Research Software Engineer, Imaging - Het ontwikkelen van een nationale infrastructuur voor het hergebruik van gezondheidsdata - Stichting Health-RI