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2020 – today
- 2025
[j35]Chiara Mauri
, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput:
A lightweight generative model for interpretable subject-level prediction. Medical Image Anal. 101: 103436 (2025)- 2024
- [i27]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 abs/2404.15009 (2024) - [i26]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:
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - [i25]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 abs/2407.08855 (2024) - [i24]Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias:
Hierarchical uncertainty estimation for learning-based registration in neuroimaging. CoRR abs/2410.09299 (2024) - [i23]Chiara Mauri, Ryan Fritz, Jocelyn Mora, Benjamin Billot, Juan Eugenio Iglesias, Koen Van Leemput, Jean Augustinack, Douglas N. Greve:
A Constrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation. CoRR abs/2411.15388 (2024) - 2023
- [j34]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: 102789 (2023) - [j33]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: 120129 (2023) - [i22]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:
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR abs/2305.07642 (2023) - [i21]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:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i20]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:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR abs/2305.09011 (2023) - [i19]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:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2305.17033 (2023) - [i18]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 abs/2305.19369 (2023) - [i17]Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput:
A Lightweight Causal Model for Interpretable Subject-level Prediction. CoRR abs/2306.11107 (2023) - 2022
- [c48]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: 448-458 - [e3]Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III:
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. Lecture Notes in Computer Science 13563, Springer 2022, ISBN 978-3-031-16748-5 [contents] - [i16]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 abs/2207.04534 (2022) - 2021
- [j32]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: 117471 (2021) - [j31]Donatas Sederevicius, Dídac Vidal-Piñeiro, Øystein Sørensen, Koenraad Van Leemput, Juan Eugenio Iglesias, Adrian V. Dalca, Douglas N. Greve, Bruce Fischl, Atle Bjørnerud, Kristine B. Walhovd, Anders M. Fjell:
Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG. NeuroImage 237: 118113 (2021) - [c47]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: 222-231 - [c46]Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima:
An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. ISBI 2021: 1196-1200 - [c45]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: 1971-1974 - [e2]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:
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. Lecture Notes in Computer Science 12959, Springer 2021, ISBN 978-3-030-87734-7 [contents] - [i15]Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima:
An augmentation strategy to mimic multi-scanner variability in MRI. CoRR abs/2103.12595 (2021) - [i14]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 abs/2107.09559 (2021) - [i13]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 abs/2109.12334 (2021) - [i12]Sveinn Pálsson, Stefano Cerri, Koen Van Leemput:
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features. CoRR abs/2109.12339 (2021) - 2020
- [j30]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: 117044 (2020) - [c44]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: 119-128 - [c43]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: 204-214 - [c42]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: 75-93 - [e1]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:
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. Lecture Notes in Computer Science 12443, Springer 2020, ISBN 978-3-030-60364-9 [contents] - [i11]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 abs/2003.01995 (2020) - [i10]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 abs/2005.05135 (2020) - [i9]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 abs/2008.05117 (2020) - [i8]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 abs/2009.05596 (2020)
2010 – 2019
- 2019
- [j29]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: 220-237 (2019) - [j28]Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl:
PSACNN: Pulse sequence adaptive fast whole brain segmentation. NeuroImage 199: 553-569 (2019) - [j27]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): 1875-1884 (2019) - [c41]Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput:
Semi-supervised Variational Autoencoder for Survival Prediction. BrainLes@MICCAI (2) 2019: 124-134 - [c40]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: 767-779 - [c39]Mikael Agn, Koen Van Leemput:
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. UNSURE/CLIP@MICCAI 2019: 42-51 - [c38]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: 77-85 - [i7]Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl:
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation. CoRR abs/1901.05992 (2019) - [i6]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 abs/1903.04352 (2019) - [i5]Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput:
Semi-Supervised Variational Autoencoder for Survival Prediction. CoRR abs/1910.04488 (2019) - [i4]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 abs/1911.04289 (2019) - 2018
- [j26]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. NeuroImage 183: 314-326 (2018) - [c37]Yashin Dicente Cid, Oula Puonti, Alexandra Platon, Koen Van Leemput, Henning Müller, Pierre-Alexandre Poletti:
An automatically generated texture-based atlas of the lungs. Computer-Aided Diagnosis 2018: 105753A - [c36]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. Image Processing 2018: 1057404 - [i3]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 abs/1806.08634 (2018) - [i2]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 abs/1807.00499 (2018) - [i1]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 abs/1807.10588 (2018) - 2017
- [j25]Zeynep M. Saygin, Dorit Kliemann, Juan Eugenio Iglesias, André J. W. van der Kouwe, Ellen Boyd, Martin Reuter, Allison Stevens, Koenraad Van Leemput, Alexis McKee, Matthew P. Frosch, Bruce Fischl, Jean C. Augustinack:
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas. NeuroImage 155: 370-382 (2017) - 2016
- [j24]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: 542-555 (2016) - [j23]Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput:
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling. NeuroImage 143: 235-249 (2016) - [j22]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): 933-946 (2016) - [c35]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. Image Processing 2016: 97841D - [c34]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. Image Processing 2016: 978417 - 2015
- [j21]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: 451-463 (2015) - [j20]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: 184-195 (2015) - [j19]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: 117-137 (2015) - [j18]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:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c33]Oula Puonti, Koen Van Leemput:
Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models. Brainles@MICCAI 2015: 9-20 - [c32]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: 168-180 - [c31]Stefano Pedemonte, Ciprian Catana, Koen Van Leemput:
Bayesian Tomographic Reconstruction Using Riemannian MCMC. MICCAI (2) 2015: 619-626 - 2014
- [c30]Christian Thode Larsen, Juan Eugenio Iglesias, Koen Van Leemput:
N3 Bias Field Correction Explained as a Bayesian Modeling Method. BAMBI 2014: 1-12 - [c29]Stefano Pedemonte, Ciprian Catana, Koen Van Leemput:
An Inference Language for Imaging. BAMBI 2014: 61-72 - [c28]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: 955-958 - [c27]Koenraad Van Leemput, Mert R. Sabuncu:
A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth. MICCAI (1) 2014: 398-406 - 2013
- [j17]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): 766-778 (2013) - [j16]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): 1181-1191 (2013) - [j15]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: 32-42 (2013) - [c26]Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput:
An Improved Optimization Method for the Relevance Voxel Machine. MLMI 2013: 147-154 - [c25]Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu:
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI 2013: 171-178 - [c24]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion. MICCAI (3) 2013: 576-583 - [c23]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: 631-638 - [c22]Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput:
Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models. MICCAI (1) 2013: 727-734 - 2012
- [j14]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): 2290-2306 (2012) - [c21]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
A generative model for multi-atlas segmentation across modalities. ISBI 2012: 888-891 - [c20]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. MICCAI (3) 2012: 50-57 - [c19]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
A Generative Model for Probabilistic Label Fusion of Multimodal Data. MBIA 2012: 115-133 - 2011
- [c18]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: 735-747 - [c17]Mert R. Sabuncu, Koen Van Leemput:
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. MICCAI (3) 2011: 99-106 - 2010
- [j13]Kris Laukens, Jens Hollunder, Thanh Hai Dang, Geert De Jaeger, Martin Kuiper, Erwin Witters, Alain Verschoren, Koenraad Van Leemput:
Flexible network reconstruction from relational databases with Cytoscape and CytoSQL. BMC Bioinform. 11: 360 (2010) - [j12]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): 654-665 (2010) - [j11]Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland:
A Generative Model for Image Segmentation Based on Label Fusion. IEEE Trans. Medical Imaging 29(10): 1714-1729 (2010) - [c16]Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, Polina Golland:
A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. MICCAI (2) 2010: 151-159
2000 – 2009
- 2009
- [j10]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): 8-17 (2009) - [j9]Koen Van Leemput:
Encoding Probabilistic Brain Atlases Using Bayesian Inference. IEEE Trans. Medical Imaging 28(6): 822-837 (2009) - [c15]Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland:
Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) 2009: 272-280 - [c14]Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland:
Asymmetric Image-Template Registration. MICCAI (1) 2009: 565-573 - [c13]Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland:
Supervised Nonparametric Image Parcellation. MICCAI (1) 2009: 1075-1083 - 2008
- [j8]Koenraad Van Leemput, Tim Van den Bulcke, Thomas Dhollander, Bart De Moor, Kathleen Marchal, Piet van Remortel:
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. Artif. Life 14(1): 49-63 (2008) - [j7]Thanh Hai Dang, Koenraad Van Leemput, Alain Verschoren, Kris Laukens:
Prediction of kinase-specific phosphorylation sites using conditional random fields. Bioinform. 24(24): 2857-2864 (2008) - [c12]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: 235-243 - [c11]Adrian Kuhn, Bart Van Rompaey, Lea Haensenberger, Oscar Nierstrasz, Serge Demeyer, Markus Gälli, Koenraad Van Leemput:
JExample: Exploiting Dependencies between Tests to Improve Defect Localization. XP 2008: 73-82 - 2007
- [j6]Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal, Yves Van de Peer:
Validating module network learning algorithms using simulated data. BMC Bioinform. 8(S-2) (2007) - 2006
- [j5]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: 43 (2006) - [c10]Koen Van Leemput:
Probabilistic Brain Atlas Encoding Using Bayesian Inference. MICCAI (1) 2006: 704-711 - 2004
- [c9]Michal J. Okoniewski, Koen Van Leemput, Piotr Gawrysiak:
Incorporation of quantitative knowledge into genetic information systems. Intelligent Information Systems 2004: 557-564 - [c8]Koen Van Leemput, Janne Hämäläinen:
A Cross-Platform Software Framework for Medical Image Processing. MICCAI (2) 2004: 1091-1092 - 2003
- [j4]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): 105-119 (2003) - 2002
- [c7]Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig:
Model-Based Brain and Tumor Segmentation. ICPR (1) 2002: 528-531 - [c6]Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig:
Automatic Brain and Tumor Segmentation. MICCAI (1) 2002: 372-379 - 2001
- [j3]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): 677-688 (2001) - [c5]Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
A Statistical Framework for Partial Volume Segmentation. MICCAI 2001: 204-212 - [c4]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: 507-515
1990 – 1999
- 1999
- [j2]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): 885-896 (1999) - [j1]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): 897-908 (1999) - [c3]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: 11-21 - [c2]Frederik Maes, Koen Van Leemput, Lynn E. DeLisi, Dirk Vandermeulen, Paul Suetens:
Quantification of Cerebral Grey and White Matter Asymmetry from MRI. MICCAI 1999: 348-357 - 1998
- [c1]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: 1222-1229
Coauthor Index
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