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2020 – today
- 2024
[c14]Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-García, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim Ethem Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler:
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. DGM4MICCAI@MICCAI 2024: 87-97- [i13]Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich
, Lester Melie-García, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim Ethem Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler:
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. CoRR abs/2403.14499 (2024) - [i12]Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR abs/2406.09335 (2024) - [i11]Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra:
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. CoRR abs/2407.05761 (2024) - [i10]Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI. CoRR abs/2409.03772 (2024) - 2023
- [c13]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI 2023: 1-5 - [c12]Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin:
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images. MIDL 2023: 526-551 - [i9]Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin:
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images. CoRR abs/2303.08189 (2023) - [i8]Po-Jui Lu, Benjamin Odry, Muhamed Barakovic, Matthias Weigel, Robin Sandkühler, Reza Rahmanzadeh, Xinjie Chen, Mario Ocampo-Pineda, Jens Kuhle, Ludwig Kappos, Philippe C. Cattin, Cristina Granziera:
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis. CoRR abs/2308.07611 (2023) - [i7]Sandrine Bédard, Enamundram Naga Karthik, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera, Andrew Smith, Kenneth Arnold Weber II, Julien Cohen-Adad:
Towards contrast-agnostic soft segmentation of the spinal cord. CoRR abs/2310.15402 (2023) - [i6]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra:
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - 2022
- [j13]Sara Bosticardo, Simona Schiavi, Sabine Schaedelin, Po-Jui Lu, Muhamed Barakovic, Matthias Weigel, Ludwig Kappos, Jens Kuhle, Alessandro Daducci, Cristina Granziera:
Microstructure-Weighted Connectomics in Multiple Sclerosis. Brain Connect. 12(1): 6-17 (2022) - [j12]Viljami Sairanen, Mario Ocampo-Pineda, Cristina Granziera, Simona Schiavi, Alessandro Daducci:
Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses. NeuroImage 247: 118802 (2022) - [j11]Simona Schiavi, Po-Jui Lu, Matthias Weigel, Antoine Lutti, Derek K. Jones, Ludwig Kappos, Cristina Granziera, Alessandro Daducci:
Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography. NeuroImage 249: 118922 (2022) - [c11]Julia Wolleb, Robin Sandkühler, Florentin Bieder, Muhamed Barakovic, Nouchine Hadjikhani, Athina Papadopoulou, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin:
Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis. MICCAI (8) 2022: 725-735 - [i5]Francesco La Rosa, Maxence Wynen, Omar Al-Louzi, Erin S. Beck, Till Huelnhagen, Pietro Maggi, Jean-Philippe Thiran, Tobias Kober, Russell T. Shinohara, Pascal Sati, Daniel S. Reich, Cristina Granziera, Martina Absinta, Meritxell Bach Cuadra:
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. CoRR abs/2201.07463 (2022) - [i4]Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf:
Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR abs/2206.15407 (2022) - [i3]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR abs/2211.04825 (2022) - 2021
- [j10]Francesco La Rosa, Thomas Yu, Germán Barquero, Jean-Philippe Thiran, Cristina Granziera, Meritxell Bach Cuadra:
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients. Comput. Biol. Medicine 132: 104297 (2021) - [j9]Thomas Yu, Erick Jorge Canales-Rodríguez, Marco Pizzolato, Gian Franco Piredda, Tom Hilbert, Elda Fischi Gomez, Matthias Weigel, Muhamed Barakovic, Meritxell Bach Cuadra, Cristina Granziera, Tobias Kober, Jean-Philippe Thiran:
Model-informed machine learning for multi-component T2 relaxometry. Medical Image Anal. 69: 101940 (2021) - [j8]Muhamed Barakovic, Chantal M. W. Tax, Umesh S. Rudrapatna, Maxime Chamberland, Jonathan Rafael-Patino, Cristina Granziera, Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales-Rodríguez, Derek K. Jones:
Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. NeuroImage 227: 117617 (2021) - [j7]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux:
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [c10]Viljami Sairanen, Mario Ocampo-Pineda, Cristina Granziera, Simona Schiavi, Alessandro Daducci:
Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering. ISBI 2021: 60-63 - [i2]Julia Wolleb, Robin Sandkühler, Muhamed Barakovic, Athina Papadopoulou, Nouchine Hadjikhani, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin:
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis. CoRR abs/2110.06803 (2021)
2010 – 2019
- 2018
- [j6]Yohan Boillat, Pierre-Louis Bazin, Kieran O'Brien, Mário João Fartaria, Guillaume Bonnier, Gunnar Krueger, Wietske van der Zwaag, Cristina Granziera:
Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI. NeuroImage 172: 1-8 (2018) - [c9]Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra:
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis. BrainLes@MICCAI (1) 2018: 142-151 - [c8]Lorenza Brusini, Ilaria Boscolo Galazzo, Mauro Zucchelli, Cristina Granziera, Gloria Menegaz:
Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM? BrainLes@MICCAI (1) 2018: 464-471 - [i1]Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra:
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis. CoRR abs/1809.03185 (2018) - 2017
- [c7]Mário João Fartaria, Alexis Roche, Reto Meuli, Cristina Granziera, Tobias Kober, Meritxell Bach Cuadra:
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling. MICCAI (3) 2017: 142-149 - 2016
- [j5]Lorenza Brusini, Silvia Obertino, Ilaria Boscolo Galazzo, Mauro Zucchelli, Gunnar Krueger, Cristina Granziera, Gloria Menegaz:
Ensemble average propagator-based detection of microstructural alterations after stroke. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1585-1597 (2016) - [j4]Mauro Zucchelli, Lorenza Brusini, Carlos Andres Mendez, Alessandro Daducci, Cristina Granziera, Gloria Menegaz:
What lies beneath? Diffusion EAP-based study of brain tissue microstructure. Medical Image Anal. 32: 145-156 (2016) - [j3]Maddalena Strumia, Frank R. Schmidt, Constantinos Anastasopoulos, Cristina Granziera, Gunnar Krueger, Thomas Brox:
White Matter MS-Lesion Segmentation Using a Geometric Brain Model. IEEE Trans. Medical Imaging 35(7): 1636-1646 (2016) - [c6]Silvia Obertino, Lorenza Brusini, Ilaria Boscolo Galazzo, Mauro Zucchelli, Cristina Granziera, Marco Cristani, Gloria Menegaz:
Shore-based biomarkers allow patient versus control classification in stroke. ISBI 2016: 1097-1100 - [c5]Silvia Obertino, Giorgio Roffo, Cristina Granziera, Gloria Menegaz:
Infinite feature selection on shore-based biomarkers reveals connectivity modulation after stroke. PRNI 2016: 1-4 - 2015
- [j2]Ying-Chia Lin, Alessandro Daducci, Djalel Eddine Meskaldji, Jean-Philippe Thiran, Patrik Michel, Reto Meuli, Gunnar Krueger, Gloria Menegaz, Cristina Granziera:
Quantitative Analysis of Myelin and Axonal Remodeling in the Uninjured Motor Network After Stroke. Brain Connect. 5(7): 401-412 (2015) - [c4]Lorenza Brusini, Silvia Obertino, Mauro Zucchelli, Ilaria Boscolo Galazzo, Gunnar Krueger, Cristina Granziera, Gloria Menegaz:
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke. MICCAI (1) 2015: 199-206 - 2014
- [c3]Lorenza Brusini, Mauro Zucchelli, Cristina Granziera, Gloria Menegaz:
Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data. ICHI 2014: 373 - [c2]Francesca Zerbato, Sehresh Khan, Mauro Zucchelli, C. Andres Mendez, Cristina Granziera, Gloria Menegaz:
Diffusion MRI Compartmental Model Analysis of DSI Data. ICHI 2014: 374 - 2012
- [j1]Gunnar Krueger, Cristina Granziera:
The history and role of long duration stimulation in fMRI. NeuroImage 62(2): 1051-1055 (2012) - 2011
- [c1]Francesca Pizzorni Ferrarese, Alessandro Daducci, Meritxell Bach Cuadra, Alia Lemkaddem, Cristina Granziera, Jean-Philippe Thiran, Gloria Menegaz:
Towards a diffusion image processing validation and accuracy prediction framework. ICIP 2011: 2269-2272
Coauthor Index
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last updated on 2024-10-22 20:14 CEST by the dblp team
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