Research output per year
Research output per year
Personal profile
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.
External positions
Research Software Engineer, Imaging - Het ontwikkelen van een nationale infrastructuur voor het hergebruik van gezondheidsdata - Stichting Health-RI
31 Aug 2023 → 31 Dec 3999
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Predicting response to neoadjuvant chemotherapy with liquid biopsies and multiparametric MRI in patients with breast cancer
Janssen, L. M., Janse, M. H. A., Penning de Vries, B. B. L., van der Velden, B. H. M., Wolters-van der Ben, E. J. M., van den Bosch, S. M., Sartori, A., Jovelet, C., Agterof, M. J., Ten Bokkel Huinink, D., Bouman-Wammes, E. W., van Diest, P. J., van der Wall, E., Elias, S. G. & Gilhuijs, K. G. A., Jan 2024, In: npj Breast Cancer. 10, 1, 10.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Downloads (Pure) -
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
Litjens, G., Broekmans, J. P. E. A., Boers, T., Caballo, M., van den Hurk, M. H. F., Ozdemir, D., van Schaik, C. J., Janse, M. H. A., van Geenen, E. J. M., van Laarhoven, C. J. H. M., Prokop, M., de With, P. H. N., van der Sommen, F. & Hermans, J. J., Oct 2023, In: Diagnostics. 13, 20, 14 p., 3198.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multiinstitutional Cohort Study
Janse, M. H. A., Janssen, L. M., van der Velden, B. H. M., Moman, M. R., Wolters-van der Ben, E. J. M., Kock, M. C. J. M., Viergever, M. A., van Diest, P. J. & Gilhuijs, K. G. A., Dec 2023, In: Journal of Magnetic Resonance Imaging. 58, 6, p. 1739-1749 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
Suinesiaputra, A., Mauger, C. A., Ambale-Venkatesh, B., Bluemke, D. A., Dam Gade, J., Gilbert, K., Janse, M., Hald, L. S., Werkhoven, C., Wu, C. O., Lima, J. A. C. & Young, A. A., 21 Jan 2022, In: Frontiers in cardiovascular medicine. 8, p. 807728 807728.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: Protocol of the LIMA study-a multicentre prospective observational cohort study
Janssen, L. M., Suelmann, B. B. M., Elias, S. G., Janse, M. H. A., Van Diest, P. J., Van Der Wall, E. & Gilhuijs, K. G. A., 20 Sept 2022, In: BMJ Open. 12, 9, p. 1-8 e061334.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Downloads (Pure)