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Picture for Stefan Klein

Stefan Klein

for the Alzheimers Disease Neuroimaging Initiative

Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review


Sep 06, 2021
Rita Marques, Danilo Andrade De Jesus, João Barbosa Breda, Jan Van Eijgen, Ingeborg Stalmans, Theo van Walsum, Stefan Klein, Pedro G. Vaz, Luisa Sánchez Brea


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Signal-carrying speckle in Optical Coherence Tomography: a methodological review on biomedical applications


Aug 30, 2021
Vania Bastos Silva, Danilo Andrade De Jesus, Stefan Klein, Theo van Walsum, João Cardoso, Luisa Sánchez Brea, Pedro G. Vaz


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Reproducible radiomics through automated machine learning validated on twelve clinical applications


Aug 19, 2021
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. Grunhagen, 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 A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, Francois 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 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

* 29 pages, 3 figures, 4 tables, 2 supplementary figures, 1 supplementary table, submitted to Medical Image Analysis 

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A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions


Jul 20, 2021
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir

* 64 pages, v1, preprint submitted to Elsevier, Oliver Diaz and Karim Lekadir contributed equally to this work 

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Evaluating glioma growth predictions as a forward ranking problem


Mar 22, 2021
Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Georgios Kapsas, Renske Gahrmann, Ahmad Alafandi, Marion Smits, Stefan Klein


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Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration


Dec 28, 2020
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron

* Under review 

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Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease


Dec 16, 2020
Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John C. van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt


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Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI


Nov 03, 2020
Bo Li, Wiro J. Niessen, Stefan Klein, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron

* Accepted by SPIE Medical Imaging 2021 for oral presentation 

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Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach


Oct 15, 2020
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

* Martijn P.A. Starmans and Milea J.M. Timbergen contributed equally 

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WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning


Oct 09, 2020
Sebastian R. van der Voort, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Rishi Nandoe Tewarie, Geert J. Lycklama, Philip C. De Witt Hamer, Roelant S. Eijgelaar, Pim J. French, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Wiro J. Niessen, Martin J. van den Bent, Marion Smits, Stefan Klein


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Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations


Sep 15, 2020
Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron


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Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration


May 13, 2020
Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton Koning, Stefan Klein


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Towards continuous learning for glioma segmentation with elastic weight consolidation


Sep 25, 2019
Karin van Garderen, Sebastian van der Voort, Fatih Incekara, Marion Smits, Stefan Klein


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Multi-modal segmentation with missing MR sequences using pre-trained fusion networks


Sep 25, 2019
Karin van Garderen, Marion Smits, Stefan Klein

* Accepted at MICCAI MIL3ID workshop 2019 

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APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network


Sep 19, 2019
Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot

* To appear in the proceedings of MICCAI 2019 Workshop Machine Learning for Medical Image Reconstruction 

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A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes


Aug 26, 2019
Bo Li, Wiro Niessen, Stefan Klein, Marius de Groot, Arfan Ikram, Meike Vernooij, Esther Bron

* MICCAI 2019 (oral presentation) 

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation


Aug 14, 2019
Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala


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Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data


May 06, 2019
Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala


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Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia


Mar 08, 2019
Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein

* IPMI 2019 

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Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling


Aug 10, 2018
Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein, for the Alzheimer's Disease Neuroimaging Initiative


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A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling


Feb 21, 2017
Vikram Venkatraghavan, Esther Bron, Wiro Niessen, Stefan Klein

* Information Processing in Medical Imaging (IPMI), 2017 

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