Koen Van Leemput

104 papers A* 1A 5B 3Journal 55Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A lightweight generative model for interpretable subject-level prediction. Medical Image Anal. Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput
2025	A*	`conf`	Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging. ICLR Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias
2024	J	`jnl`	A Constrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation. CoRR Chiara Mauri, Ryan Fritz, Jocelyn Mora, Benjamin Billot, Juan Eugenio Iglesias, Koen Van Leemput, Jean Augustinack, Douglas N. Greve
2024	J	`jnl`	Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Aria Mahtabfar, Zeke Meier, Ahmed W. Moawad, John Mongan, Marie Piraud, Russell Takeshi Shinohara, Walter F. Wiggins, Aly H. Abayazeed, Rachel Akinola, András Jakab, Michel Bilello, Maria Correia de Verdier, Priscila Crivellaro, Christos Davatzikos, Keyvan Farahani, John B. Freymann, Christopher Hess, Raymond Y. Huang, Philipp Lohmann, Mana Moassefi, Matthew W. Pease, Philipp Vollmuth, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I. Warren, Ali Hussain, Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar
2024	J	`jnl`	BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. CoRR Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Anna Zapaishchykova, Julija Pavaine, Lubdha M. Shah, Blaise V. Jones, Nakul Sheth, Sanjay P. Prabhu, Aaron S. McAllister, Wenxin Tu, Khanak K. Nandolia, Andres Felipe Rodriguez, Ibraheem Salman Shaikh, Mariana Sanchez-Montano, Hollie Anne Lai, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Hannah Anderson, Syed Muhammed Anwar, Alejandro Aristizabal, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, James A. Eddy, Ivan Ezhov, Ariana M. Familiar, Keyvan Farahani, Deep Gandhi, Anurag Gottipati, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Elaine, Alexandros Karargyris, Hasan Kassem, Neda Khalili, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Sarthak Pati, Marie Piraud, Tina Poussaint, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Micah J. Sheller, Russell Takeshi Shinohara, Karthik Viswanathan, Chunhao Wang, Benedikt Wiestler, Walter F. Wiggins, Christos Davatzikos, Phillip B. Storm, Miriam Bornhorst, Roger J. Packer, Trent Hummel, Peter de Blank, Lindsey Hoffman, Mariam Aboian, Ali Nabavizadeh, Jeffrey B. Ware, Benjamin H. Kann, Brian Rood, Adam C. Resnick, Spyridon Bakas, Arastoo Vossough, Marius George Linguraru
2024	J	`jnl`	Hierarchical uncertainty estimation for learning-based registration in neuroimaging. CoRR Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias
2024	J	`jnl`	The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR Anahita Fathi Kazerooni, Nastaran Khalili, Deep Gandhi, Xinyang Liu, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Anurag Gottipati, Debanjan Haldar, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johansen, Blaise V. Jones, Neda Khalili, Florian Kofler, Dominic LaBella, Hollie Anne Lai, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Aaron S. McAllister, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Khanak K. Nandolia, Julija Pavaine, Marie Piraud, Tina Poussaint, Sanjay P. Prabhu, Zachary Reitman, Andres Felipe Rodriguez, Jeffrey D. Rudie, Mariana Sanchez-Montano, Ibraheem Salman Shaikh, Lubdha M. Shah, Nakul Sheth, Russel Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Spyridon Bakas, Adam C. Resnick, Brian Rood, Arastoo Vossough, Marius George Linguraru
2023	J	`jnl`	A Lightweight Causal Model for Interpretable Subject-level Prediction. CoRR Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput
2023	J	`jnl`	Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage Henry F. J. Tregidgo, Sonja Soskic, Juri Althonayan, Chiara Maffei, Koen Van Leemput, Polina Golland, Ricardo Insausti, Garikoitz Lerma-Usabiaga, César Caballero-Gaudes, Pedro M. Paz-Alonso, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias
2023	J	`jnl`	SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. Medical Image Anal. Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
2023	J	`jnl`	The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Devon Godfrey, Fathi Hilal, Ariana Familiar, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Koen Van Leemput, Hongwei Bran Li, Xinyang Liu, Aria Mahtabfar, Shan McBurney-Lin, Ryan McLean, Zeke Meier, Ahmed W. Moawad, John Mongan, Pierre Nedelec, Maxence Pajot, Marie Piraud, Arif Rashid, Zachary Reitman, Russell Takeshi Shinohara, Yury Velichko, Chunhao Wang, Pranav I. Warman, Walter I. Wiggins, Mariam Aboian, Jake Albrecht, Udunna Anazodo, Spyridon Bakas, Adam E. Flanders, Anastasia Janas, Goldey Khanna, Marius George Linguraru, Bjoern H. Menze, Ayman Nada, Andreas M. Rauschecker, Jeffrey D. Rudie, Nourel Hoda Tahon, Javier E. Villanueva-Meyer, Benedikt Wiestler, Evan Calabrese
2023	J	`jnl`	The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR Hongwei Bran Li, Gian Marco Conte, Syed Muhammad Anwar, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
2023	J	`jnl`	The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Syed Muhammad Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johanson, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Marie Piraud, Tina Poussaint, Zachary Reitman, Jeffrey D. Rudie, Ibraheem Salman Shaikh, Russell Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Adam C. Resnick, Brian Rood, Arastoo Vossough, Spyridon Bakas, Marius George Linguraru
2023	J	`jnl`	The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). CoRR Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi, Oluyemisi Toyobo, Raymond Confidence, Dong Zhang, Olubukola Omidiji, Rachel Akinola, Mohammad Abba Suwaid, Adaobi Emegoakor, Nancy Ojo, Kenneth Aguh, Chinasa Kalaiwo, Gabriel Babatunde, Afolabi Ogunleye, Yewande Gbadamosi, Kator Iorpagher, Evan Calabrese, Mariam Aboian, Marius George Linguraru, Jake Albrecht, Benedikt Wiestler, Florian Kofler, Anastasia Janas, Dominic LaBella, Anahita Fathi Kazerooni, Hongwei Bran Li, Juan Eugenio Iglesias, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Koen Van Leemput, Christina Bukas, Marie Piraud, Gian Marco Conte, Elaine Johanson, Zeke Meier, Bjoern H. Menze, Ujjwal Baid, Spyridon Bakas, Farouk Dako, Abiodun Fatade, Udunna Anazodo
2023	J	`jnl`	The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Özgün Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
2022	—	`conf`	Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. MICCAI (8) Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput
2022	J	`jnl`	An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation. CoRR Stefano Cerri, Douglas N. Greve, Andrew Hoopes, Henrik Lundell, Hartwig R. Siebner, Mark Mühlau, Koen Van Leemput
2022	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III
2021	J	`jnl`	A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis. NeuroImage Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput
2021	—	`conf`	An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. ISBI Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
2021	J	`jnl`	An augmentation strategy to mimic multi-scanner variability in MRI. CoRR Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
2021	—	`conf`	Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. ISBI Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias
2021	J	`jnl`	Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images. CoRR Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput
2021	—	`conf`	Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features. BrainLes@MICCAI (2) Sveinn Pálsson, Stefano Cerri, Koen Van Leemput
2021	J	`jnl`	Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features. CoRR Sveinn Pálsson, Stefano Cerri, Koen Van Leemput
2021	J	`jnl`	SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. CoRR Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
2021	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings UNSURE/PIPPI@MICCAI Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan
2020	—	`conf`	3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. MICCAI (5) Henry F. J. Tregidgo, Adrià Casamitjana, Caitlin Latimer, Mitchell Kilgore, Eleanor D. Robinson, Emily Blackburn, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Christine L. Mac Donald, C. Dirk Keene, Juan Eugenio Iglesias
2020	J	`jnl`	3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology. CoRR Henry F. J. Tregidgo, Adria Casamitjana, Caitlin Latimer, Mitchell Kilgore, Eleanor D. Robinson, Emily Blackburn, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Christine L. Mac Donald, C. Dirk Keene, Juan Eugenio Iglesias
2020	J	`jnl`	A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput
2020	—	`conf`	A Learning Strategy for Contrast-agnostic MRI Segmentation. MIDL Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
2020	J	`jnl`	A Learning Strategy for Contrast-agnostic MRI Segmentation. CoRR Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
2020	—	`conf`	A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. MLCN/RNO-AI@MICCAI Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput
2020	J	`jnl`	A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput
2020	J	`jnl`	Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling. NeuroImage Oula Puonti, Koen Van Leemput, Guilherme B. Saturnino, Hartwig R. Siebner, Kristoffer H. Madsen, Axel Thielscher
2020	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings UNSURE/GRAIL@MICCAI Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2019	J	`jnl`	A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning. Medical Image Anal. Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput
2019	—	`conf`	Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. UNSURE/CLIP@MICCAI Mikael Agn, Koen Van Leemput
2019	—	`conf`	Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. IPMI Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki
2019	J	`jnl`	Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases. CoRR Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki
2019	J	`jnl`	PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation. CoRR Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl
2019	J	`jnl`	PSACNN: Pulse sequence adaptive fast whole brain segmentation. NeuroImage Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl
2019	J	`jnl`	Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Trans. Medical Imaging Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze
2019	—	`conf`	Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. OR/MLCN@MICCAI Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
2019	J	`jnl`	Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors. CoRR Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
2019	J	`jnl`	Semi-Supervised Variational Autoencoder for Survival Prediction. CoRR Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput
2019	—	`conf`	Semi-supervised Variational Autoencoder for Survival Prediction. BrainLes@MICCAI (2) Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput
2018	J	`jnl`	A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning. CoRR Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput
2018	J	`jnl`	A probabilistic atlas of the human thalamic nuclei combining NeuroImage Juan Eugenio Iglesias, Ricardo Insausti, Garikoitz Lerma-Usabiaga, Martina Bocchetta, Koen Van Leemput, Douglas N. Greve, André J. W. van der Kouwe, Bruce Fischl, César Caballero-Gaudes, Pedro M. Paz-Alonso
2018	J	`jnl`	A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. CoRR Juan Eugenio Iglesias, Ricardo Insausti, Garikoitz Lerma-Usabiaga, Martina Bocchetta, Koen Van Leemput, Douglas N. Greve, André J. W. van der Kouwe, Bruce Fischl, César Caballero-Gaudes, Pedro M. Paz-Alonso
2018	—	`conf`	An automatically generated texture-based atlas of the lungs. Computer-Aided Diagnosis Yashin Dicente Cid, Oula Puonti, Alexandra Platon, Koen Van Leemput, Henning Müller, Pierre-Alexandre Poletti
2018	J	`jnl`	Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. CoRR Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze
2018	B	`conf`	Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines. Image Processing Oula Puonti, Koen Van Leemput, Jesper Duemose Nielsen, Christian Bauer, Hartwig Roman Siebner, Kristoffer Hougaard Madsen, Axel Thielscher
2016	J	`jnl`	A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gábor Székely, Nicholas Ayache, Polina Golland
2016	B	`conf`	A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients. Image Processing Mikael Agn, Ian Law, Per Munck af Rosenschöld, Koen Van Leemput
2016	J	`jnl`	Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases. NeuroImage Juan Eugenio Iglesias, Koen Van Leemput, Jean Augustinack, Ricardo Insausti, Bruce Fischl, Martin Reuter
2016	B	`conf`	Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features. Image Processing Daniel Andreasen, Jens M. Edmund, Vasileios Zografos, Bjoern H. Menze, Koen Van Leemput
2016	J	`jnl`	Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling. NeuroImage Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
2015	J	`jnl`	A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. NeuroImage Juan Eugenio Iglesias, Jean C. Augustinack, Khoa Nguyen, Christopher M. Player, Allison Player, Michelle Wright, Nicole Roy, Matthew P. Frosch, Ann C. McKee, Lawrence L. Wald, Bruce Fischl, Koen Van Leemput
2015	J	`jnl`	An algorithm for optimal fusion of atlases with different labeling protocols. NeuroImage Juan Eugenio Iglesias, Mert Rory Sabuncu, Iman Aganj, Priyanka Bhatt, Christen Casillas, David H. Salat, Adam L. Boxer, Bruce Fischl, Koen Van Leemput
2015	—	`conf`	Bayesian Tomographic Reconstruction Using Riemannian MCMC. MICCAI (2) Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
2015	J	`jnl`	Bayesian segmentation of brainstem structures in MRI. NeuroImage Juan Eugenio Iglesias, Koen Van Leemput, Priyanka Bhatt, Christen Casillas, Shubir Dutt, Norbert Schuff, Diana Truran-Sacrey, Adam L. Boxer, Bruce Fischl
2015	—	`conf`	Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape. Brainles@MICCAI Mikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput
2015	—	`conf`	Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models. Brainles@MICCAI Oula Puonti, Koen Van Leemput
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2014	—	`conf`	An Inference Language for Imaging. BAMBI Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
2014	—	`conf`	Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2. ISBI Mikael Agn, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Gitte Moos Knudsen, Koen Van Leemput
2014	—	`conf`	N3 Bias Field Correction Explained as a Bayesian Modeling Method. BAMBI Christian Thode Larsen, Juan Eugenio Iglesias, Koen Van Leemput
2013	—	`conf`	A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion. MICCAI (3) Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2013	J	`jnl`	A unified framework for cross-modality multi-atlas segmentation of brain MRI. Medical Image Anal. Juan Eugenio Iglesias, Mert Rory Sabuncu, Koen Van Leemput
2013	—	`conf`	An Improved Optimization Method for the Relevance Voxel Machine. MLMI Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput
2013	—	`conf`	Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models. MICCAI (1) Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
2013	J	`jnl`	Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry. Medical Image Anal. Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2013	—	`conf`	Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? MICCAI (1) Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl
2013	—	`conf`	On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu
2013	J	`jnl`	Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI. NeuroImage Jean Augustinack, Kristen Huber, Allison Stevens, Michelle Roy, Matthew P. Frosch, André J. W. van der Kouwe, Lawrence L. Wald, Koen Van Leemput, Ann C. McKee, Bruce Fischl
2012	—	`conf`	A Generative Model for Probabilistic Label Fusion of Multimodal Data. MBIA Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2012	—	`conf`	A generative model for multi-atlas segmentation across modalities. ISBI Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2012	—	`conf`	Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. MICCAI (3) Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2012	J	`jnl`	The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction. IEEE Trans. Medical Imaging Mert R. Sabuncu, Koen Van Leemput
2011	—	`conf`	A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland
2011	—	`conf`	The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. MICCAI (3) Mert R. Sabuncu, Koen Van Leemput
2010	J	`jnl`	Segmentation of image ensembles via latent atlases. Medical Image Anal. Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland
2009	—	`conf`	Asymmetric Image-Template Registration. MICCAI (1) Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland
2009	J	`jnl`	Encoding Probabilistic Brain Atlases Using Bayesian Inference. IEEE Trans. Medical Imaging Koen Van Leemput
2009	—	`conf`	Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland
2009	J	`jnl`	Predicting the location of entorhinal cortex from MRI. NeuroImage Bruce Fischl, Allison Stevens, Niranjini Rajendran, B. T. Thomas Yeo, Douglas N. Greve, Koen Van Leemput, Jonathan R. Polimeni, Sita Kakunoori, Randy L. Buckner, Jennifer L. Pacheco, David H. Salat, Jennifer Melcher, Matthew P. Frosch, Bradley T. Hyman, Patricia Ellen Grant, Bruce R. Rosen, André J. W. van der Kouwe, Graham C. Wiggins, Lawrence L. Wald, Jean Augustinack
2009	—	`conf`	Supervised Nonparametric Image Parcellation. MICCAI (1) Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland
2008	—	`conf`	Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI. MICCAI (1) Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham C. Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl
2006	—	`conf`	Probabilistic Brain Atlas Encoding Using Bayesian Inference. MICCAI (1) Koen Van Leemput
2006	J	`jnl`	SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinform. Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal
2004	—	`conf`	A Cross-Platform Software Framework for Medical Image Processing. MICCAI (2) Koen Van Leemput, Janne Hämäläinen
2004	—	`conf`	Incorporation of quantitative knowledge into genetic information systems. Intelligent Information Systems Michal J. Okoniewski, Koen Van Leemput, Piotr Gawrysiak
2003	J	`jnl`	A Unifying Framework for Partial Volume Segmentation of Brain MR Images. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2002	—	`conf`	Automatic Brain and Tumor Segmentation. MICCAI (1) Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig
2002	—	`conf`	Model-Based Brain and Tumor Segmentation. ICPR (1) Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig
2001	A	`conf`	A Statistical Framework for Partial Volume Segmentation. MICCAI Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2001	J	`jnl`	Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens
2001	A	`conf`	Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. MICCAI Siddharth Srivastava, Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1999	J	`jnl`	Automated Model-Based Tissue Classification of MR Images of the Brain. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1999	A	`conf`	Automated Segmentation of MS Lesions from Multi-channel MR Images. MICCAI Koen Van Leemput, Frederik Maes, Fernando Bello, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens
1999	J	`jnl`	Automated model-based bias field correction of MR images of the brain. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1999	A	`conf`	Quantification of Cerebral Grey and White Matter Asymmetry from MRI. MICCAI Frederik Maes, Koen Van Leemput, Lynn E. DeLisi, Dirk Vandermeulen, Paul Suetens
1998	A	`conf`	Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas. MICCAI Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens