Christian Mol

Christian studied Software engineering at the HBO in Eindhoven where he got his BSc degree. After that he left for Utrecht to study Applied Computing Science at Utrecht University focusing on computational intelligence. After graduating he worked for almost 3 years at Utrecht University as scientific programmer in a project on social robotics. The project ran in the Intelligent Systems group and had a strong relation with agent technology. He is currently working as scientific programmer in the Computer-Aided Diagnosis group, working on imageXplorer, which is developed by this group.

Publications

• Joint online distance learning to complement postgraduate pathology training in preparation for national board examinations
  de Leng, Bas, Helle, Laura, Jokelainen, Otto, Kainulainen, Mikko, Kronqvist, Pauliina, Mol, Christian, Pawelka, Friedrich, Pohjanen, Vesa Matti, Vincken, Koen 2024 in Journal of Clinical Pathology
• Genotype-phenotype correlation in pseudoxanthoma elasticum
  Bartstra, Jonas W., Risseeuw, Sara, de Jong, Pim A., van Os, Bram, Kalsbeek, Lianne, Mol, Chris, Baas, Annette F., Verschuere, Shana, Vanakker, Olivier, Florijn, Ralph J., Hendrikse, Jeroen, Mali, Willem, Imhof, Saskia, Ossewaarde-van Norel, Jeannette, van Leeuwen, Redmer, Spiering, Wilko May 2021 in Atherosclerosis 324 p. 18-26
• Heat Map Analysis in Radiological Image Interpretation: An Exploration of Its Usefulness for Feedback About Image Interpretation Skills in Learners
  Rutgers, D. R., van der Gijp, A., Vincken, K. L., Mol, C. P., van der Schaaf, M. F., Cate, Th J.ten Mar 2021 in Academic Radiology 28 (3), p. 414-423
• Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
  Leiner, Tim, Bennink, E, Mol, Christian, Kuijf, Hugo, Veldhuis, WB Dec 2021 in Insights Into Imaging [E] 12 (1), p. 11
• Airway tapering: an objective image biomarker for bronchiectasis
  on behalf of the Normal Chest CT study group May 2020 in European Radiology 30 (5), p. 2703-2711
• Determinants of Difficulty and Discriminating Power of Image-based Test Items in Postgraduate Radiological Examinations
  Rutgers, Dirk R., van Raamt, Fleur, van der Gijp, Anouk, Mol, Christian, ten Cate, Olle May 2018 in Academic Radiology 25 (5), p. 665-672
• Volumetric image interpretation in radiology: scroll behavior and cognitive processes
  Den Boer, Larissa, van der Schaaf, Marieke F., Vincken, Koen L., Mol, Chris P., Stuijfzand, Bobby G., van der Gijp, Anouk Oct 2018 in Advances in Health Sciences Education 23 (4), p. 783-802
• Identifying error types in visual diagnostic skill assessment
  Ravesloot, Cécile J, van der Gijp, Anouk, van der Schaaf, Marieke F, Huige, Josephine C B M, Ten Cate, Olle, Vincken, Koen L, Mol, Christian P, van Schaik, Jan P J Jun 2017 in Diagnosis (Berlin, Germany) 4 (2), p. 93-99
• Increasing Authenticity of Simulation-Based Assessment in Diagnostic Radiology
  van der Gijp, Anouk, Ravesloot, Cécile J, Tipker, Corinne A, de Crom, Kim, Rutgers, DR, van der Schaaf, Marieke F, van der Schaaf, Irene C, Mol, Christian P, Vincken, Koen L, Ten Cate, Olle Th J, Maas, Mario, van Schaik, Jan P J Jan 2017 in Simulation in Healthcare 12 (6), p. 377-384
• Identifying error types in radiological image interpretation of learners
  Ravesloot, C., van der Gijp, A., van der Schaaf, Marieke, Huige, J.C.B.M., ten Cate, O., Vincken, K.L., Mol, C.P., van Schaik, J.P.J. jun 2015 at Identifying error types in radiological image interpretation of learners
• Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge
  Isgum, I, Benders, Manon J N L, Avants, Brian, Cardoso, M. Jorge, Counsell, Serena J., Gomez, Elda Fischi, Gui, Laura, Huppi, Petra S., Kersbergen, Karina J., Makropoulos, Antonios, Melbourne, Andrew, Moeskops, Pim, Mol, Christian P., Kuklisova-Murgasova, Maria, Rueckert, Daniel, Schnabel, Julia A., Srhoj-Egekher, Vedran, Wu, Jue, Wang, Siying, de Vries, Linda S., Viergever, Max A. Feb 2015 in Medical Image Analysis 20 (1), p. 135-151
• Osteoporosis markers on low-dose lung cancer screening chest computed tomography scans predict all-cause mortality
  Buckens, C F, van der Graaf, Y, Verkooijen, H M, Mali, W P, Isgum, I, Mol, C P, Verhaar, H J, Vliegenthart, R, Oudkerk, M, van Aalst, C M, de Koning, H.J., de Jong, P. A. Jan 2015 in European Radiology 25 (1), p. 132-139
• Support for external validity of radiological anatomy tests using volumetric images
  Ravesloot, Cecile J., van der Gijp, Anouk, van der Schaaf, Marieke F, Huige, Josephine C B M, Vincken, Koen L, Mol, Christian P, Bleys, Ronald L A W, ten Cate, Olle T, van Schaik, JPJ 2015 in Academic Radiology 22 (5), p. 640-645
• Volumetric CT-images improve testing of radiological image interpretation skills
  Ravesloot, C.J., van der Schaaf, Marieke F, van Schaik, JPJ, ten Cate, Olle Th J, van der Gijp, Anouk, Mol, Christian P, Vincken, Koen L 2015 in European Journal of Radiology 84 (5), p. 856-861
• Automated coronary artery calcification scoring in non-gated chest CT: agreement and reliability
  Takx, R.A.P., de Jong, P.A., Leiner, T., Oudkerk, M., de Koning, H.J., Mol, C.P., Viergever, M.A., Isgum, I. 2014 in PLoS ONE [E] 9 (3), p. e91239
• Cardiac valve calcifications on low-dose unenhanced ungated chest computed tomography: inter-observer and inter-examination reliability, agreement and variability
  van Hamersvelt, R.W., Willemink, M.J., Takx, R.A.P., Eikendal, A.L., Budde, R.P.J., Leiner, T., Mol, C.P., Isgum, I., de Jong, P.A. 2014 in European Radiology 24 (7), p. 1557-1564
• Automatic segmentation of eight tissue classes in neonatal brain MRI
  Anbeek, P., Isgum, I., van Kooij, B.J.M., Mol, C.P., Kersbergen, K.J., Groenendaal, F., Viergever, M.A., de Vries, L.S., Benders, M.J.N.L. 2013 in PLoS ONE [E] 8 (12), p. e81895
• Authenticiteit en betrouwbaarheid van toetsing van radiologische beeldinterpretatievaardigheden met multi-slice beelden
  Ravesloot, C.J., van der Schaaf, M.F., van der Gijp, A., Mol, C.P., ten Cate, Th.J., van Schaik, J.P.J., Vincken, K.L. 2013 at Authenticiteit en betrouwbaarheid van toetsing van radiologische beeldinterpretatievaardigheden met multi-slice beelden
• Variation in quantitative CT air trapping in heavy smokers on repeat CT examinations
  Mets, O.M., Isgum, I., Mol, C.P., Gietema, H.A., Zanen, P., Prokop, W.M., de Jong, P.A. 2012 in European Radiology 22 (12), p. 2710-2717
• The effect of iterative reconstruction on computed tomography assessment of emphysema, air trapping and airway dimensions
  Mets, O.M., Willemink, M.J., de Kort, F.P.L., Mol, C.P., Leiner, T., Oudkerk, M., Prokop, W.M., de Jong, P.A. 2012 in European Radiology 22 (10), p. 2103-2109
• CT-quantified emphysema in male heavy smokers: association with lung function decline
  Mohamed Hoesein, F.A.A., de Hoop, B.J., Zanen, P., Gietema, H.A., Kruitwagen, C.L.J.J., van Ginneken, B., Isgum, I., Mol, C.P., van Klaveren, R.J., Dijkstra, A.E., Groen, H.J.M., Boezen, H.M., Postma, D.S., Prokop, W.M., Lammers, J.W.J. 2011 in Thorax 66 (9), p. 782-787
• Rib suppression in chest radiographs to improve classification of textural abnormalities
  Hogeweg, L.E., Mol, C.P., de Jong, P.A., van Ginneken, B. 2010 in Rib suppression in chest radiographs to improve classification of textural abnormalities: Proceedings of SPIE - The International Society for Optical Engineering p. 76240Y-1-76240Y-6 (; vol. )