Publications

Martijn P. A. Starmans (2023). Obtained an AINed Personal Fellowship Grant!. AINed Personal Fellowship.

V.N. Dang, A. Casamitjana, M.P.A. Starmans, C. Martín-Isla, J. Hernández-González, K. Lekadir, Alzheimer's Disease Neuroimaging Initiative (2023). Auditing Unfair Biases in CNN-based Diagnosis of Alzheimer’s Disease. Fairness of AI in Medical Imaging (FAIMI) MICCAI 2023 Workshop.

Karim Lekadir, łdots łdots, Martijn P A Starmans (2023). FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

Diederik J. Höppener, Witali Aswolinskiy, David Tellez, Zhen Qian, Pieter M.H. Nierop, Martijn P. A. Starmans, Iris D. Nagtegaal, Michail Doukas, Johannes H.W. de Wilt, Dirk J. Grünhagen, Jeroen A.W.M. van der Laak, Peter Vermeulen, Francesco Ciompi, C. Verhoef (2023). Predicting survival after surgery for colorectal liver metastasis with deep learning.

Douwe J Spaanderman, Stefanie N Hakkesteegt, Anne-Rose W Schut, Christine Messiou, Robin Jones, Andrew Hayes, Leonardo Nardo, Yasser Gaber, Wiro J Niessen, Geert J L H van Leenders, Jacob J Visser, Stefan Klein, Dirk J Grünhagen, Cornelis Verhoef, Martijn P A Starmans (2023). Multi-center External Validation of a Radiomics Model Differentiating Between ALT and Lipoma Using Automatic and Minimally Interactive Segmentation Methods.

Douwe J Spaanderman, Martijn P A Starmans, Gonnie C M van Erp, David F Hanff, Judith Sluiter, Anne-Rose W Schut, Geert J L H van Leenders, Cornelis Verhoef, Wiro J. Niessen, Jacob J Visser, Dirk J Grünhagen, Stefan Klein (2023). Interactive segmentation of Soft-Tissue Tumors on MRI and CT.

Bart-Jan Boverhof, Ken Redekop, Daniel Bos, Martijn P. A. Starmans, Judy Birch, Andrea Rockall, Jacob J. Visser (2023). Radiology AI Deployment and Assessment Rubric (RADAR) for value-based AI in Radiology.

Natalia Herrera, Marina Camacho, Esmeralda Ruiz, Roberto Gatta, Karim Lekadir, Martijn P. A. Starmans (2023). Bias and Fairness in Radiomics: A Comparative Analysis of Machine Learning Models on Four Oncology Datasets.

D.J. Van der Reijd, C. Guerendel, F.C.R. Staal, M.P. Busard, M. De Oliveira Taveira, E.G. Klompenhouwer, K.F.D. Kuhlmann, A. Moelker, C. Verhoef, Martijn P.A. Starmans, D.M.J. Lambregts, R.G.H. Beets-Tan, S. Benson, Monique Maas (2023). Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation. Eruopean Radiology.

Martijn P. A. Starmans, Razvan L. Miclea, Valerie Vilgrain, Maxime Ronot, Yvonne Purcell, Jef Verbeek, Wiro J. Niessen, Jan N.M. Ijzermans, Rob A. de Man, Michail Doukas, Stefan Klein, Maarten G. Thomeer (2023). Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Usiong Radiomics. Academic Radiology.

M P A Starmans (2023). AI and image analysis of liver metastases. Liver Metastases Research Network (LMRN) Annual Meeting 2023.

M P A Starmans (2023). Zijn we dan artificieel intelligent met mammografie/MRI . Rijnmond Regional Borstkanker meeting.

Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis, Kostas Marias, Manolis Tsiknakis, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Ignacio Blanquer, J. Damian Segrelles, Sergio López-Huguet, Caroline Barelle, Magdalena Kogut-Czarkowska, Gianna Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos, Vicky Drossou, Antonios Lalas, Konstantinos Votis, Pedro Mallol, Luis Marti-Bonmati, Leonor Cerdá Alberich, Karine Seymour, Samuel Boucher, Esther Ciarrocchi, Lauren Fromont, Jordi Rambla, Alexander Harms, Andrea Gutierrez, Martijn P. A. Starmans, Fred Prior, Josep Ll Gelpi, Karim Lekadir (2023). Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects. European Radiology Experimental.

M P A Starmans (2023). EuCanImage: Towards a European cancer imaging platform for enhanced Artificial Intelligence in oncology. European Congress of Radiology 2023.

M. K. Bos, J. Kraan, Martijn P. A. Starmans, J. Helmijr, A. Joosse, A. A. M. van der Veldt, P. A. W. te Boekhorst, J. W. M. Martens, S. M. Wilting, S. Sleijfer (2022). Comprehensive characterization of circulating tumor cells and cell-free DNA in patients with metastatic melanoma.

M P A Starmans (2022). Technical and organizational obstacles and solutions for a secure data platform in cancer imaging. EuCanImage Webinar 2022.

M P A Starmans (2022). EuCanImage data platform and catalogue for cancer imaging and non-imaging data. RadioVal Meeting 2022.

M P A Starmans (2022). Current status and future outlook on artificial intelligence in radiological imaging for liver metastases. Liver Metastases Research Network (LMRN) Annual Meeting 2022.

Martijn P. A. Starmans, Li Shen Ho, Fokko Smits, Nick Beije, Inge de Kruijff, Joep J de Jong, Diederik M Somford, Egbert R Boevé, Ed te Slaa, Evelyne C C Cauberg, Sjoerd Klaver, Antoine G van der Heijden, Carl J Wijburg, Addy C M van de Luijtgaarden, Harm H E van Melick, Ella Cauffman, Peter de Vries, Rens Jacobs, Wiro J Niessen, Jacob J Visser, Stefan Klein, Joost L Boormans, Astrid A M van der Veldt (2022). Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography. Bladder Cancer Lymph Node Staging with Radiomics.

Else J. Bijl, Martijn P. A. Starmans, Jacob M. Mostert, Stefan Klein, F. J. P. M. Huygen, Cecile C. de Vos (2022). Automatic quantification of complex regional pain syndrome using radiomics and deep learning based on thermography images.

Martijn P. A. Starmans, Razvan L. Miclea, Valerie Vilgrain, Maxime Ronot, Yvonne Purcell, Jef Verbeek, Wiro J. Niessen, Jan N.M. Ijzermans, Rob A. de Man, Michail Doukas, Stefan Klein, Maarten G. Thomeer (2022). Automated differentiation of malignant and benign primary solid liver lesions on MRI: an externally validated radiomics model.

Florian Dubost, Pinar Yilmaz, Kimberlin van Wijnen, Hieab Adams, Tavia Evans, Martijn P. A. Starmans, Gerda Bortsova, M Afran Ikram, Wiro J Niessen, Meike W Vernooij, Marleen de Bruijne (2022). Visual Versus Automated Detection of Enlarged Perivascular Spaces and their Mimics.

Martijn P. A. Starmans (2022). Streamlined Quantitative Imaging Biomarker Development. PhD Thesis.

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Martijn P. A. Starmans, Milea J M Timbergen, Melissa Vos, Michel Renckens, Dirk J Grünhagen, Geert J L H van Leenders, Roy S Dwarkasing, François E J A Willemssen, Wiro J Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J Visser, Stefan Klein (2022). Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach. Journal of Digital Imaging.

Jose M Castillo T, Muhammad Arif, Martijn P. A. Starmans, Wiro J Niessen, Chris H Bangma, Ivo Schoots, Jifke F Veenland (2021). Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics. Cancers.

Martijn P. A. Starmans, Sebastian R van der Voort, Thomas Phil, Milea J M Timbergen, Melissa Vos, Guillaume A Padmos, Wouter Kessels, David Hanff, Dirk J Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J van den Bent, Marion Smits, Roy S Dwarkasing, Christopher J Els, Federico Fiduzi, Geert J L H van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza van Gils, Gaston J H Franssen, Richard A Feelders, Wouter W de Herder, Florian E Buisman, François E J A Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A M van der Veldt, Ana Rajicic, Arlette E Odink, Mitchell Deen, Jose M Castillo T, Jifke F Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A de Man, Jan N M Ijzermans, Razvan L Miclea, Peter B Vermeulen, Esther E Bron, Maarten G Thomeer, Jacob J Visser, Wiro J Niessen, Stefan Klein (2021). Reproducible radiomics through automated machine learning validated on twelve clinical applications.

Anela Blazevic, Martijn P. A. Starmans, Tessa Brabander, Roy S Dwarkasing, Renza A H van Gils, Johannes Hofland, Gaston J H Franssen, Richard A Feelders, Wiro J Niessen, Stefan Klein, Wouter W de Herder (2021). Predicting symptomatic mesenteric mass in small intestinal neuroendocrine tumors using radiomics. Endocrine-Related Cancer.

Martijn P. A. Starmans, Marcel Koek (2021). Reproducible radiomics through automated machine learning validated on twelve clinical applications. Euro-Bioimaging User Forum 2021: Understanding and Fighting Cancer.

Koen B de Raad, Karin A van Garderen, Marion Smits, Sebastian R van der Voort, Fatih Incekara, Edwin H G Oei, Jukka Hirvasniemi, Stefan Klein, Martijn P. A. Starmans (2021). The effect of preprocessing on convolutional neurnal networks for medical image segmentation. International Symposium on Biomedical Imaging (ISBI 2021).

Lindsay Angus, Martijn P. A. Starmans, Ana Rajicic, Arlette E Odink, Mathilde Jalving, Wiro J Niessen, Jacob J Visser, Stefan Sleijfer, Stefan Klein, Astrid A M van der Veldt (2021). The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning. Journal of Personalized Medicine.

Martijn P. A. Starmans (2021). Multicentre studies for more robust radiomics signatures. ECR 2021.

Jose M Castillo T, Martijn P. A. Starmans, Muhammad Arif, Wiro J Niessen, Stefan Klein, Chris H Bangma, Ivo G Schoots, Jifke F Veenland (2021). A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade. Diagnostics.

Martijn P. A. Starmans (2021). WORCDatabase. Zenodo.

Martijn P. A. Starmans, Milea J M Timbergen, Melissa Vos, Guillaume A Padmos, Dirk J Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Geert J L H van Leenders, Florian E Buisman, François E J A Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A M van der Veldt, Ana Rajicic, Arlette E Odink, Michel Renckens, Michail Doukas, Rob A de Man, Jan N M Ijzermans, Razvan L Miclea, Peter B Vermeulen, Maarten G Thomeer, Jacob J Visser, Wiro J Niessen, Stefan Klein (2021). The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies.

Martijn P. A. Starmans (2021). MesentericRadiomics. Zenodo.

Martijn P. A. Starmans (2021). MelaRadiomics. Zenodo.

Martijn P. A. Starmans (2021). LiverRadiomics. Zenodo.

Martijn P. A. Starmans, Florian E. Buisman, Michel Renckens, François E. J. A. Willemssen, Sebastian R. van der Voort, Bas Groot Koerkamp, Dirk J. Grünhagen, Wiro J. Niessen, Peter B. Vermeulen, Cornelis Verhoef, Jacob J. Visser, Stefan Klein (2021). Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study. Clinical & Experimental Metastasis.

Martijn P. A. Starmans (2021). CLMRadiomics. Zenodo.

Petros Kalendralis, Zhenwei Shi, Alberto Traverso, Ananya Choudhury, Matthijs Sloep, Ivan Zhovannik, Martijn P. A. Starmans, Detlef Grittner, Peter Feltens, Rene Monshouwer, Stefan Klein, Rianne Fijten, Hugo Aerts, Andre Dekker, Johan Soest, Leonard Wee (2020). FAIR-compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head-Neck1 TCIA collections. Medical Physics.

Milea J M Timbergen, Martijn P. A. Starmans, Guillaume A Padmos, Dirk J Grünhagen, Geert J L H van Leenders, D F Hanff, Cornelis Verhoef, Wiro J Niessen, Stefan Sleijfer, Stefan Klein, Jacob J Visser (2020). Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics. European Journal of Radiology.

Martijn P. A. Starmans (2020). Multicentre studies for more robust radiomics signatures. ECR 2020.

Martijn P. A. Starmans, C J Els, F Fiduzi, W J Niessen, S Klein, R S Dwarkasing (2020). Radiomics model to predict hepatocellular carcinoma on liver MRI of high-risk patients in surveillance: a proof-of-concept study. Insights into Imaging.

Martijn P. A. Starmans, F. E. Buisman, F. Willemssen, S. R. van der Voort, D. J. Grünhagen, P. B. Vermeulen, C. Verhoef, S. Klein, J. J. Visser (2020). Prediction of histopathological growth patterns by radiomics and CT-imaging in patients with operable colorectal liver metastases: a proof-of-concept study. Insights into Imaging.

Martijn P. A. Starmans, M. Vos, M. J. M. Timbergen, S. R. van der Voort, D. J. Grünhagen, S. Sleijfer, C. Verhoef, J. J. Visser, S. Klein (2020). Distinguishing well-differentiated liposarcomas from lipomas on MR images using a radiomics approach. Insights into Imaging.

Martijn P. A. Starmans, M J M Timbergen, G A Padmos, D J Grünhagen, G J L H van Leenders, D F Hanff, S Sleijfer, J J Visser, S Klein (2020). Distinguishing desmoid-type fibromatosis from soft tissue sarcoma on MRI using a radiomics approach. Insights into Imaging.

Martijn P. A. Starmans, M J M Timbergen, M Vos, M Renckens, D J Grünhagen, G J L H van Leenders, S Sleijfer, J J Visser, S Klein (2020). Differential diagnosis and mutation stratification of gastrointestinal stromal tumours on CT images using a radiomics approach. Insights into Imaging.

Milea J M Timbergen, Martijn P. A. Starmans, Melissa Vos, Michel Renckens, Dirk J Grünhagen, Geert J L H van Leenders, Wiro J Niessen, Cornelis Verhoef, Stefan Sleijfer, Stefan Klein, Jacob J Visser (2020). Radiomics of Gastrointestinal Stromal Tumors; Risk Classification Based on Computed Tomography Images – A Pilot Study. European Journal of Surgical Oncology.

Martijn P. A. Starmans, Sebastian R van der Voort, Jose M Castillo T, Jifke F Veenland, Stefan Klein, Wiro J Niessen (2020). Radiomics: Data mining using quantitative medical image features. Handbook of Medical Image Computing and Computer Assisted Intervention.

A Blazevic, Martijn P. A. Starmans, T Brabander, J Hofland, G J H Franssen, R A Feelders, W J Niessen, S Klein, W W de Herder (2020). Prediction of Symptomatic Mesenteric Mass in Patients with Small Intestinal Neuroendocrine Tumors Using a CT Radiomics Approach. Neuroendocrinology.

Martijn P. A. Starmans (2020). GISTRadiomics. Zenodo.

Martijn P. A. Starmans, Sebastian R van der Voort, H C Achterberg, Thomas Phil, Milea J M Timbergen, Melissa Vos, Guillaume A Padmos, Wouter Kessels, David Hanff, Dirk J Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J van den Bent, Marion Smits, Roy S Dwarkasing, Christopher J Els, Federico Fiduzi, Geert J L H van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza van Gils, Gaston J H Franssen, Richard A Feelders, Wouter W de Herder, Florian E Buisman, François E J A Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A M van der Veldt, Ana Rajicic, Arlette E Odink, Mitchell Deen, Jose M Castillo T, Jifke F Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A de Man, Jan N M Ijzermans, Razvan L Miclea, Peter B Vermeulen, Esther E Bron, Maarten G Thomeer, Jacob J Visser, Wiro J Niessen, Stefan Klein (2020). Fully automatic construction of optimal radiomics workflows. Health-RI Conference.

Martijn P. A. Starmans (2020). DMRadiomics. Zenodo.

M Vos, Martijn P. A. Starmans, M J M Timbergen, S R van der Voort, G A Padmos, W Kessels, W J Niessen, G J L H van Leenders, D J Grünhagen, S Sleijfer, C Verhoef, S Klein, J J Visser (2019). Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI. British Journal of Surgery.

Sebastian R van der Voort, Fatih Incekara, Maarten M J Wijnenga, Georgios Kapas, Mayke Gardeniers, Joost W Schouten, Martijn P. A. Starmans, Rishie Nandoe Tewarie, Geert J Lycklama, Pim J French, Hendrikus J Dubbink, Martin J van den Bent, Arnaud J P E Vincent, Wiro J Niessen, Stefan Klein, Marion Smits (2019). Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm. Clinical Cancer Research.

M J M Timbergen, Martijn P. A. Starmans, M Vos, M Renckens, D J Grünhagen, G J L H van Leenders, W J Niessen, C Verhoef, S Sleijfer, S Klein, J J Visser (2019). Radiomics of gastrointestinal stromal tumours, risk classification based on computed tomography images: A pilot study. Annals of Oncology.

M Vos, Martijn P. A. Starmans, M J M Timbergen, S R van der Voort, G A Padmos, W Kessels, W J Niessen, G J L H van Leenders, D J Grünhagen, S Sleijfer, C Verhoef, S Klein, J J Visser (2019). Differentiating well-differentiated liposarcomas from lipomas using a radiomics approach. Annals of Oncology.

P Kalendralis, A Traverso, Z Shi, I Zhovannik, R Monshouwer, Martijn P. A. Starmans, S Klein, P Elisabeth, R Boellaard, A Dekker, L Wee (2019). Multicenter CT phantoms public dataset for radiomics reproducibility studies. Radiotherapy and Oncology.

Jose M Castillo T, Martijn P. A. Starmans, Wiro J Niessen, Ivo Schoots, Stefan Klein, Jifke F Veenland (2019). Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics Approach. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

A Traverso, I Zhovannik, Z Shi, P Kalendralis, R Monshouwer, Martijn P. A. Starmans, S Klein, E Pfaehler, R Boellaard, A Dekker, L Wee (2019). Are quality assurance phantoms useful to assess radiomics reproducibility? A multi-center study. Radiotherapy and Oncology.

Petros Kalendralis, Alberto Traverso, Zhenwei Shi, Ivan Zhovannik, Rene Monshouwer, Martijn P. A. Starmans, Stefan Klein, Elisabeth Pfaehler, Ronald Boellaard, Andre Dekker, Leonard Wee (2019). Multicenter CT phantoms public dataset for radiomics reproducibility tests. Medical Physics.

Martijn P. A. Starmans, A. Blazevic, T. Brabander, J. Hofland, W. J. Niessen, W. W. de Herder, S. Klein (2019). Prediction of surgery requirement in mesenteric fibrosis on CT using a radiomics approach. Insights into Imaging.

M J M Timbergen, Martijn P. A. Starmans, M Vos, G A Padmos, D J Grünhagen, G J L H van Leenders, C Verhoef, W J Niessen, S Sleijfer, S Klein, J J Visser (2019). Mutation stratification of desmoid-type fibromatosis using a radiogenomics approach. European Journal of Surgical Oncology.

Martijn P. A. Starmans, S. R. van der Voort, M. Vos, F. Incekara, J. J. Visser, M. Smits, M. G. Thomeer, W. J. Niessen, S. Klein (2019). Fully automatic construction of optimal radiomics workflows. Insights into Imaging.

Martijn P. A. Starmans, R.L. Miclea, S. R. van der Voort, W. J. Niessen, S. Klein, M. G. Thomeer (2019). Classification of malignant and benign liver tumours using a radiomics approach. Insights into Imaging.

T Theodoridis, Martijn P. A. Starmans, S Klein, E E Bron (2019). Radiomics features for use in dementia diagnosis. 36th Annual Scientific Meeting of the ESMRMB.

Martijn P. A. Starmans (2019). LipoRadiomicsFeatures. Zenodo.

Martijn P. A. Starmans, SR van der Voort, R L Miclea, M Vos, F Incekara, M J M Timbergen, M M J Wijnenga, G A Padmos, W Kessels, G J L H van Leenders, G Kapsas, M J Van den Bent, A J P E Vincent, D J Grünhagen, C Verhoef, S Sleijfer, J J Visser, M Smits, M G Thomeer, W J Niessen, S Klein (2019). Fully automatic construction of optimal radiomics workflows. 7th Dutch Bio-Medical Engineering (BME) Conference.

Martijn P. A. Starmans, Razvan L Miclea, Sebastian R van der Voort, Wiro J Niessen, Maarten G Thomeer, Stefan Klein (2018). Classification of malignant and benign liver tumors using a radiomics approach. Medical Imaging 2018: Image Processing.

Martijn P. A. Starmans, S R van der Voort, T Phil, S Klein (2018). Workflow for Optimal Radiomics Classification (WORC). Zenodo.

Sebastian R van der Voort, Martijn P. A. Starmans (2018). Predict: a Radiomics Extensive Digital Interchangable Classification Toolkit (PREDICT). Zenodo.

Milea J M Timbergen, Martijn P. A. Starmans, Melissa Vos, Guillaume A Padmos, Dirk J Grünhagen, Geert J L H van Leenders, Cornelis Verhoef, Wiro J Niessen, Stefan Sleijfer, Stefan Klein, Jacob J Visser (2018). Mutation stratification of desmoid-type fibromatosis using a radiomics approach – preliminary results. Desmoid Tumor Research Foundation (DTRF) meeting.

Martijn P. A. Starmans, Sebastian R van der Voort, Razvan L Miclea, Melissa Vos, Fatih Incekara, Milea J M Timbergen, Maarten M J Wijnenga, Guillaume A Padmos, Geert J L H van Leenders, George Kapsas, Martin J van den Bent, Arnaud J P E Vincent, Dirk J Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Jacob J Visser, Marion Smits, Maarten G Thomeer, Wiro J Niessen, Stefan Klein (2018). Harmonizing radiomics among applications through adaptive workflow optimization. European Society of Medical Imaging Informatics (EuSoMII) Annual Meeting.

M P A Starmans, S R van der Voort, W J Niessen, S Klein (2017). A Radiomics Approach for Colorectal Liver Metastases Survival Prediction. Medical Image Computing and Computer Assisted Intervention 2017.

Martijn P A Starmans (2017). Radiomics and liver tumors. Current and Future Perspectives in Primary Liver Tumors Symposium.

Martijn P. A. Starmans, Florian Buisman, Sebastian R van der Voort, Michel Renckens, Boris Galjart, Pieter Nierop, Wiro J Niessen, Cornelis Verhoef, Jan-Jaap Visser, Stefan Klein (2017). Prediction of histopathological growth patterns in colorectal liver metastases using a Radiomics approach. Dutch Society for Pattern Recognition (NVPHBV) Spring Meeting.