Publications

2019

S. Bruns, J.M. Wolterink, R.W. van Hamersvelt, T. Leiner, I. Išgum

CNN-based segmentation of the cardiac chambers and great vessels in non-contrast-enhanced cardiac CT Conference

Medical Imaging with Deep Learning. MIDL London, 2019.

Abstract | Links | BibTeX

Nikolas Lessmann, Jelmer M. Wolterink, Majd Zreik, Max A. Viergever, Bram van Ginneken, Ivana Išgum

Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network Conference

Medical Imaging with Deep Learning. MIDL London, 2019.

Abstract | Links | BibTeX

Ecem Sogancioglu,Keelin Murphy,Erdi Calli, Ernst Scholten, Steven Schalekamp, Bram van Ginneken

Deep Learning Anatomical Segmentations for Cardiothoracic Ratio Measurement on Chest X-rays Journal Article Forthcoming

Forthcoming.

BibTeX

C. González-Gonzalo, B. Liefers, A. Vaidyanathan, H. J. van Zeeland, C. C. W. Klaver, C. I. Sánchez

Opening the “black box” of deep learning in automated screening of eye diseases Inproceedings

Association for Research in Vision and Ophthalmology Annual Meeting. ARVO Vancouver, 2019.

Abstract | Links | BibTeX

J. Engelberts, C. González-Gonzalo, C. I. Sanchez, M. van Grinsven

Automatic Segmentation of Drusen and Exudates on Color Fundus Images using Generative Adversarial Networks Inproceedings

Association for Research in Vision and Ophthalmology Annual Meeting. ARVO Vancouver, 2019.

Abstract | Links | BibTeX

C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y. T. Lechanteur, A. Domanian, B. van Ginneken, C. I. Sánchez

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration Journal Article Forthcoming

Forthcoming.

Abstract | Links | BibTeX

Suzanne C. Wetstein, Allison M. Onken, Gabrielle M. Baker, Michael E. Pyle, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta

Detection of acini in histopathology slides: towards automated prediction of breast cancer risk Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

Allison M. Onken, Suzanne Wetstein, Michael Pyle, Josien Pluim, Stuart J. Schnitt, Gabrielle M Baker, Laura C. Collins, Rulla Tamimi, Mitko Veta, Yujing Jan Heng

Deep Learning Networks to Segment and Detect Breast Terminal Duct Lobular Units, Acini, and Adipose Tissue: A Step Toward the Automated Analysis of Lobular Involution as a Marker for Breast Cancer Risk Conference

United States and Canadian Academy of Pathology (USCAP), 2019.

Abstract | BibTeX

Friso G. Heslinga, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta

Approximation of a pipeline of unsupervised retina image analysis methods with a CNN Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

R.W. van Hamersvelt

New dimensions in cardiovascular CT PhD Thesis

Utrecht University, The Netherlands, 2019, ISBN: 978-90-393-7092-6.

BibTeX

S. Bruns, J.M. Wolterink, R.W. van Hamersvelt, M. Zreik, T. Leiner, I. Išgum

Improving myocardium segmentation in cardiac CT angiography using spectral information Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

J. Sander, B.D. de Vos, J.M. Wolterink, I. Išgum

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

E. Calli, E. Sogancioglu, E.T. Scholten, K. Murphy; B. van Ginneken.

Handling label noise through model confidence and uncertainty: application to chest radiograph classification Inproceedings

Medical Imaging of Proceedings of the SPIE, 2019.

BibTeX

R.W. van Hamersvelt, I. Išgum, P.A. de Jong, M.J. Cramer, G.E. Leenders, M.J. Willemink, M. Voskuil, T. Leiner

Application of speCtraL computed tomogrAphy to impRove specIficity of cardiac compuTed tomographY (CLARITY study): Rationale and Design Journal Article

BMJ Open, 9 (3), pp. e025793, 2019.

Abstract | Links | BibTeX

M.U. Dalmış, A. Gubern-Merida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann; J. Teuwen.

Artificial Intelligence Based Classification of Breast Lesions Imaged With a Multi-Parametric Breast MRI Protocol With ultrafast DCE-MRI, T2 and DWI Journal Article

Investigative Radiology, 2019.

Links | BibTeX

2018

G. Bortsova, F. Dubost, S. Ørting, I. Katramados, L. Hogeweg, L. Thomsen, M. Wille, M. de Bruijne

Deep learning from label proportions for emphysema quantification Inproceedings

International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 768–776, Springer, Cham, 2018.

Abstract | Links | BibTeX

E. Sogancioglu, S. Hu, D. Belli; B. van Ginneken.

Chest X-ray Inpainting with Deep Generative Models Unpublished

2018.

BibTeX

J. van Vugt, E. Marchiori, R. Mann, A. Gubern-Mérida, N. Moriakov; J. Teuwen.

Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation Conference

2018.

BibTeX

J.M.H. Noothout, B.D de Vos, J.M. Wolterink, T. Leiner, I. Isgum

CNN-based Landmark Detection in Cardiac CTA Scans Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

J.M. Wolterink, T. Leiner, I. Isgum

Blood vessel geometry synthesis using generative adversarial networks Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

C. González-Gonzalo, B. Liefers, B. van Ginneken, C. I. Sánchez

Improving weakly-supervised lesion localization with iterative saliency map refinement Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

J. M. Tomczak, M. Ilse, M. Welling, M. Jansen, H.G. Coleman, M. Lucas, K. de Laat, M. de Bruin, H. Marquering, M. J. van der Wel, O. J. de Boer, C. D. Savci-Heijink, S. L. Meijer

Histopathological classification of precursor lesions of esophageal adenocarcinoma: A Deep Multiple Instance Learning Approach Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

M. Ilse, J. M. Tomczak, M. Welling

Attention-based deep multiple instance learning Inproceedings

International Conference on Machine Learning. ICML, 2018.

Abstract | Links | BibTeX

2017

J. M. Tomczak, M. Ilse, M. Welling

Deep Learning with Permutation-invariant Operator for Multiple-instance Histopathology Classification Inproceedings

Medical Imaging meets NIPS Workshop, 2017.

Abstract | Links | BibTeX