Koen Van Leemput

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 51

Top Topics

Bayesian Modeling

Magnetic Resonance Images

Top Venues

IEEE Trans. Medical Imaging

Publications

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
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR (2024)
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 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
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR (2024)
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
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. CoRR (2024)
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
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage 274 (2023)
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, 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, Adam Resnick, Brian Rood, Arastoo Vossough, Spyridon Bakas, Marius George Linguraru
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR (2023)
Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Oezguen 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
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR (2023)
Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput
A Lightweight Causal Model for Interpretable Subject-level Prediction. CoRR (2023)
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
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). CoRR (2023)
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully 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
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR (2023)
Hongwei Bran Li, Syed Muhammad Anwar, Gian Marco Conte, 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, Verena Chung, Timothy Bergquist, James A. Eddy, Jake Albrecht, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR (2023)
Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. Medical Image Anal. 86 (2023)
Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput
Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. MICCAI (8) (2022)
Stefano Cerri, Douglas N. Greve, Andrew Hoopes, Henrik Lundell, Hartwig R. Siebner, Mark Mühlau, Koen Van Leemput
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation. CoRR (2022)
Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias
Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. ISBI (2021)
Sveinn Pálsson, Stefano Cerri, Koen Van Leemput
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features. CoRR (2021)
Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput
A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis. NeuroImage 225 (2021)
Sveinn Pálsson, Stefano Cerri, Koen Van Leemput
Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features. BrainLes@MICCAI (2) (2021)
Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. CoRR (2021)
Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images. CoRR (2021)
Maria Inês Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
An augmentation strategy to mimic multi-scanner variability in MRI. CoRR (2021)
Maria Inês Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. ISBI (2021)
Oula Puonti, Koen Van Leemput, Guilherme B. Saturnino, Hartwig R. Siebner, Kristoffer H. Madsen, Axel Thielscher
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling. NeuroImage 219 (2020)
Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR (2020)
Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. MLCN/RNO-AI@MICCAI (2020)
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, Dirk Keene, Juan Eugenio Iglesias
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. MICCAI (5) (2020)
Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
A Learning Strategy for Contrast-agnostic MRI Segmentation. MIDL (2020)
Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. CoRR (2020)
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, Dirk Keene, Juan Eugenio Iglesias
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology. CoRR (2020)
Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
A Learning Strategy for Contrast-agnostic MRI Segmentation. CoRR (2020)
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
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Trans. Medical Imaging 38 (8) (2019)
Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl
PSACNN: Pulse sequence adaptive fast whole brain segmentation. NeuroImage 199 (2019)
Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation. CoRR (2019)
Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki
Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. IPMI (2019)
Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors. CoRR (2019)
Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. OR/MLCN@MICCAI (2019)
Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput
Semi-Supervised Variational Autoencoder for Survival Prediction. CoRR (2019)
Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases. CoRR (2019)
Mikael Agn, Koen Van Leemput
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. UNSURE/CLIP@MICCAI (2019)
Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput
Semi-supervised Variational Autoencoder for Survival Prediction. BrainLes@MICCAI (2) (2019)
Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning. Medical Image Anal. 54 (2019)
Oula Puonti, Koen Van Leemput, Jesper D. Nielsen, Christian Bauer, Hartwig Roman Siebner, Kristoffer Hougaard Madsen, Axel Thielscher
Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines. Medical Imaging: Image Processing (2018)
Yashin Dicente Cid, Oula Puonti, Alexandra Platon, Koen Van Leemput, Henning Müller, Pierre-Alexandre Poletti
An automatically generated texture-based atlas of the lungs. Medical Imaging: Computer-Aided Diagnosis (2018)
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
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. CoRR (2018)
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
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. CoRR (2018)
Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning. CoRR (2018)
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
MRI and histology. NeuroImage 183 (2018)
Daniel Andreasen, Jens M. Edmund, Vasileios Zografos, Bjoern H. Menze, Koen Van Leemput
Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features. Medical Imaging: Image Processing (2016)
Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling. NeuroImage 143 (2016)
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
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35 (4) (2016)
Juan Eugenio Iglesias, Koen Van Leemput, Jean Augustinack, Ricardo Insausti, Bruce Fischl, Martin Reuter
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases. NeuroImage 141 (2016)
Mikael Agn, Ian Law, Per Munck af Rosenschöld, Koen Van Leemput
A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients. Medical Imaging: Image Processing (2016)
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 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
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34 (10) (2015)
Juan Eugenio Iglesias, Koen Van Leemput, Priyanka Bhatt, Christen Casillas, Shubir Dutt, Norbert Schuff, Diana Truran-Sacrey, Adam L. Boxer, Bruce Fischl
Bayesian segmentation of brainstem structures in MRI. NeuroImage 113 (2015)
Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
Bayesian Tomographic Reconstruction Using Riemannian MCMC. MICCAI (2) (2015)
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
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. NeuroImage 115 (2015)
Mikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput
Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape. Brainles@MICCAI (2015)
Oula Puonti, Koen Van Leemput
Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models. Brainles@MICCAI (2015)
Juan Eugenio Iglesias, Mert Rory Sabuncu, Iman Aganj, Priyanka Bhatt, Christen Casillas, David H. Salat, Adam L. Boxer, Bruce Fischl, Koen Van Leemput
An algorithm for optimal fusion of atlases with different labeling protocols. NeuroImage 106 (2015)
Mikael Agn, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Gitte Moos Knudsen, Koen Van Leemput
Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2. ISBI (2014)
Christian Thode Larsen, Juan Eugenio Iglesias, Koen Van Leemput
N3 Bias Field Correction Explained as a Bayesian Modeling Method. BAMBI (2014)
Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
An Inference Language for Imaging. BAMBI (2014)
Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion. MICCAI (3) (2013)
Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models. MICCAI (1) (2013)
Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl
Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? MICCAI (1) (2013)
Juan Eugenio Iglesias, Mert Rory Sabuncu, Koen Van Leemput
A unified framework for cross-modality multi-atlas segmentation of brain MRI. Medical Image Anal. 17 (8) (2013)
Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput
An Improved Optimization Method for the Relevance Voxel Machine. MLMI (2013)
Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry. Medical Image Anal. 17 (7) (2013)
Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI (2013)
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
Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI. NeuroImage 64 (2013)
Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. MICCAI (3) (2012)
Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
A generative model for multi-atlas segmentation across modalities. ISBI (2012)
Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
A Generative Model for Probabilistic Label Fusion of Multimodal Data. MBIA (2012)
Mert R. Sabuncu, Koen Van Leemput
The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction. IEEE Trans. Medical Imaging 31 (12) (2012)
Mert R. Sabuncu, Koen Van Leemput
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. MICCAI (3) (2011)
Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland
A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI (2011)
Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland
Segmentation of image ensembles via latent atlases. Medical Image Anal. 14 (5) (2010)
Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland
Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) (2009)
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
Predicting the location of entorhinal cortex from MRI. NeuroImage 47 (1) (2009)
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland
Asymmetric Image-Template Registration. MICCAI (1) (2009)
Koen Van Leemput
Encoding Probabilistic Brain Atlases Using Bayesian Inference. IEEE Trans. Medical Imaging 28 (6) (2009)
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland
Supervised Nonparametric Image Parcellation. MICCAI (1) (2009)
Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham C. Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl
Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI. MICCAI (1) (2008)
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinform. 7 (2006)
Koen Van Leemput
Probabilistic Brain Atlas Encoding Using Bayesian Inference. MICCAI (1) (2006)
Koen Van Leemput, Janne Hämäläinen
A Cross-Platform Software Framework for Medical Image Processing. MICCAI (2) (2004)
Michal J. Okoniewski, Koen Van Leemput, Piotr Gawrysiak
Incorporation of quantitative knowledge into genetic information systems. Intelligent Information Systems (2004)
Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
A Unifying Framework for Partial Volume Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 22 (1) (2003)
Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig
Automatic Brain and Tumor Segmentation. MICCAI (1) (2002)
Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig
Model-Based Brain and Tumor Segmentation. ICPR (1) (2002)
Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens
Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection. IEEE Trans. Medical Imaging 20 (8) (2001)
Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
A Statistical Framework for Partial Volume Segmentation. MICCAI (2001)
Siddharth Srivastava, Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. MICCAI (2001)
Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
Automated model-based bias field correction of MR images of the brain. IEEE Trans. Medical Imaging 18 (10) (1999)
Koen Van Leemput, Frederik Maes, Fernando Bello, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens
Automated Segmentation of MS Lesions from Multi-channel MR Images. MICCAI (1999)
Frederik Maes, Koen Van Leemput, Lynn E. DeLisi, Dirk Vandermeulen, Paul Suetens
Quantification of Cerebral Grey and White Matter Asymmetry from MRI. MICCAI (1999)
Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
Automated Model-Based Tissue Classification of MR Images of the Brain. IEEE Trans. Medical Imaging 18 (10) (1999)
Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas. MICCAI (1998)