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ORCIDM. Mallar Chakravarty
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2020 – today
- 2024
[j43]Simon Oxenford, Ana Sofía Ríos, Barbara Hollunder
, Clemens Neudorfer, Alexandre Boutet, Gavin J. B. Elias, Jürgen Germann, Aaron Loh, Wissam Deeb, Bryan Salvato, Leonardo Almeida, Kelly D. Foote, Robert S. C. Amaral, Paul B. Rosenberg, David F. Tang-Wai, David A. Wolk, Anna D. Burke, Marwan N. Sabbagh, Stephen Salloway, M. Mallar Chakravarty, Gwenn S. Smith, Constantine G. Lyketsos, Michael S. Okun, William S. Anderson, Zoltan Mari, Francisco A. Ponce, Andres M. Lozano, Wolf-Julian Neumann, Bassam Al-Fatly, Andreas Horn:
WarpDrive: Improving spatial normalization using manual refinements. Medical Image Anal. 91: 103041 (2024)- 2023
- [j42]Hadis Kalantar Hormozi, Raihaan Patel, Alyssa Dai, Justine Ziolkowski, Hao-Ming Dong, Avram Holmes, Armin Raznahan, Gabriel A. Devenyi, M. Mallar Chakravarty:
A cross-sectional and longitudinal study of human brain development: The integration of cortical thickness, surface area, gyrification index, and cortical curvature into a unified analytical framework. NeuroImage 268: 119885 (2023) - [j41]Vanessa Valiquette, Elisa Guma, Lani Cupo, Daniel Gallino, Chloe Anastassiadis, Emily Snook, Gabriel A. Devenyi, M. Mallar Chakravarty:
Examining litter specific variability in mice and its impact on neurodevelopmental studies. NeuroImage 269: 119888 (2023) - 2022
- [j40]Corinne Robert, Raihaan Patel, Nadia Blostein, Chrisopher J. Steele, M. Mallar Chakravarty:
Analyses of microstructural variation in the human striatum using non-negative matrix factorization. NeuroImage 246: 118744 (2022) - [j39]Raihaan Patel, Clare E. Mackay, Michelle G. Jansen, Gabriel A. Devenyi, M. Clare O'Donoghue, Mika Kivimäki, Archana Singh-Manoux, Eniko Zsoldos, Klaus P. Ebmeier, M. Mallar Chakravarty, Sana Suri:
Inter- and intra-individual variation in brain structural-cognition relationships in aging. NeuroImage 257: 119254 (2022) - [j38]Paul-Noel Rousseau, M. Mallar Chakravarty, Christopher John Steele:
Mapping pontocerebellar connectivity with diffusion MRI. NeuroImage 264: 119684 (2022) - 2021
- [j37]Athina Tzovara, Ishmael Amarreh, Valentina Borghesani, M. Mallar Chakravarty, Elizabeth Dupre, Christian Grefkes, Amelie Haugg, Lee Jollans, Hyang Woon Lee, Sharlene D. Newman, Rosanna K. Olsen, J. Tilak Ratnanather, Gina Rippon, Lucina Q. Uddin, Maria L. Bringas-Vega, Michele Veldsman, Tonya White, AmanPreet Badhwar:
Embracing diversity and inclusivity in an academic setting: Insights from the Organization for Human Brain Mapping. NeuroImage 229: 117742 (2021) - [j36]Aurélie Bussy, Eric Plitman, Raihaan Patel, Stephanie Tullo, Alyssa Salaciak, Saashi A. Bedford, Sarah Farzin, Marie-Lise Béland, Vanessa Valiquette, Christina Kazazian, Christine Lucas Tardif, Gabriel A. Devenyi, M. Mallar Chakravarty:
Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates. NeuroImage 233: 117931 (2021) - [j35]Stefan Drakulich, Anne-Charlotte Thiffault, Emily R. Olafson, Olivier Parent, Aurélie Labbe, Matthew D. Albaugh, Budhachandra S. Khundrakpam, Simon Ducharme, Alan C. Evans, M. Mallar Chakravarty, Sherif Karama:
Maturational trajectories of pericortical contrast in typical brain development. NeuroImage 235: 117974 (2021) - [j34]Eric Plitman, Aurélie Bussy, Vanessa Valiquette, Alyssa Salaciak, Raihaan Patel, Lani Cupo, Marie-Lise Béland, Stephanie Tullo, Christine Lucas Tardif, M. Natasha Rajah, Jamie Near, Gabriel A. Devenyi, M. Mallar Chakravarty:
The impact of the Siemens Tim Trio to Prisma upgrade and the addition of volumetric navigators on cortical thickness, structure volume, and 1H-MRS indices: An MRI reliability study with implications for longitudinal study designs. NeuroImage 238: 118172 (2021) - 2020
- [j33]Ari M. Fish, Ajay Nadig, Jakob Seidlitz, Paul K. Reardon, Catherine Mankiw, Cassidy L. McDermott, Jonathan D. Blumenthal, Liv S. Clasen, François Lalonde, Jason P. Lerch, M. Mallar Chakravarty, Russell T. Shinohara, Armin Raznahan:
Sex-biased trajectories of amygdalo-hippocampal morphology change over human development. NeuroImage 204 (2020) - [j32]Raihaan Patel, Christopher John Steele, Anthony G. X. Chen, Sejal Patel, Gabriel A. Devenyi, Jürgen Germann, Christine L. Tardif, M. Mallar Chakravarty:
Investigating microstructural variation in the human hippocampus using non-negative matrix factorization. NeuroImage 207 (2020)
2010 – 2019
- 2019
- [j31]Francesca Mandino, Domenic H. Cerri, Clément M. Garin, Milou Straathof, Geralda A. F. van Tilborg, M. Mallar Chakravarty, Marc Dhenain, Rick M. Dijkhuizen, Alessandro Gozzi, Andreas Hess, Shella D. Keilholz, Jason P. Lerch, Yen-Yu Ian Shih, Joanes Grandjean:
Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization. Frontiers Neuroinformatics 13: 78 (2019) - [j30]Ting Guo, Vann Chau, Shabnam Peyvandi, Beatrice Latal, Patrick S. McQuillen, Walter Knirsch, Anne Synnes, Maria Feldmann, Nadja Naef, M. Mallar Chakravarty, Alessandra De Petrillo, Emma G. Duerden, A. James Barkovich, Steven P. Miller:
White matter injury in term neonates with congenital heart diseases: Topology & comparison with preterm newborns. NeuroImage 185: 742-749 (2019) - 2018
- [j29]Robert S. C. Amaral, Min Tae M. Park, Gabriel A. Devenyi, Vivian Lynn, Jon Pipitone, Julie L. Winterburn, Sofia Chavez, Mark M. Schira, Nancy J. Lobaugh, Aristotle N. Voineskos, Jens C. Pruessner, M. Mallar Chakravarty:
Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging. NeuroImage 170: 132-150 (2018) - [j28]Christopher John Steele, M. Mallar Chakravarty:
Gray-matter structural variability in the human cerebellum: Lobule-specific differences across sex and hemisphere. NeuroImage 170: 164-173 (2018) - [j27]Carolina Makowski, Sophie Béland, Penelope Kostopoulos, Nikhil Bhagwat, Gabriel A. Devenyi, Ashok K. Malla, Ridha Joober, Martin D. Lepage, M. Mallar Chakravarty:
Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation. NeuroImage 170: 182-198 (2018) - [j26]Siobhan Ewert, Philip Plettig, Ningfei Li, M. Mallar Chakravarty, D. Louis Collins, Todd M. Herrington, Andrea A. Kühn, Andreas Horn:
Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity. NeuroImage 170: 271-282 (2018) - [j25]Dorothee Schoemaker, Claudia Buss, Kevin Head, Curt A. Sandman, Elysia Poggi Davis, M. Mallar Chakravarty, Serge Gauthier, Jens C. Pruessner:
Corrigendum to "Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation"[NeuroImage 129 (2016) 1-14]. NeuroImage 173: 1-2 (2018) - [j24]Elisa Guma, Jill Rocchetti, Gabriel A. Devenyi, Arnaud Tanti, Axel Mathieu, Jason P. Lerch, Guillaume Elgbeili, Blandine Courcot, Naguib Mechawar, M. Mallar Chakravarty, Bruno Giros:
Regional brain volume changes following chronic antipsychotic administration are mediated by the dopamine D2 receptor. NeuroImage 176: 226-238 (2018) - [j23]Sejal Patel, Raihaan Patel, Min Tae M. Park, Mario Masellis, Jo Knight, M. Mallar Chakravarty:
Heritability estimates of cortical anatomy: The influence and reliability of different estimation strategies. NeuroImage 178: 78-91 (2018) - [j22]Nikhil Bhagwat, Joseph D. Viviano, Aristotle N. Voineskos, M. Mallar Chakravarty, Alzheimer's Disease Neuroimaging Initiative:
Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. PLoS Comput. Biol. 14(9) (2018) - [i1]Ahmed Ashraf, Shehroz S. Khan, Nikhil Bhagwat, M. Mallar Chakravarty, Babak Taati:
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. CoRR abs/1812.01716 (2018) - 2017
- [j21]José E. Romero, Pierrick Coupé, Rémi Giraud, Vinh-Thong Ta, Vladimir S. Fonov, Min Tae M. Park, M. Mallar Chakravarty, Aristotle N. Voineskos, José V. Manjón:
CERES: A new cerebellum lobule segmentation method. NeuroImage 147: 916-924 (2017) - [j20]Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack:
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 13(3) (2017) - 2016
- [j19]Sejal Patel, Min Tae M. Park, M. Mallar Chakravarty, Jo Knight:
Gene Prioritization for Imaging Genetics Studies Using Gene Ontology and a Stratified False Discovery Rate Approach. Frontiers Neuroinformatics 10: 14 (2016) - [j18]M. Mallar Chakravarty, Clement Hamani, Alonso Martinez-Canabal, Jacob Ellegood, Christine L. Laliberté, José N. Nobrega, Tejas Sankar, Andres M. Lozano, Paul W. Frankland, Jason P. Lerch:
Deep brain stimulation of the ventromedial prefrontal cortex causes reorganization of neuronal processes and vasculature. NeuroImage 125: 422-427 (2016) - [j17]Dorothee Schoemaker, Claudia Buss, Kevin Head, Curt A. Sandman, Elysia Poggi Davis, M. Mallar Chakravarty, Serge Gauthier, Jens C. Pruessner:
Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation. NeuroImage 129: 1-14 (2016) - 2015
- [j16]Yiming Xiao, Vladimir S. Fonov, Silvain Bériault, Fahd Al Subaie, M. Mallar Chakravarty, Abbas F. Sadikot, G. Bruce Pike, D. Louis Collins:
Multi-contrast unbiased MRI atlas of a Parkinson's disease population. Int. J. Comput. Assist. Radiol. Surg. 10(3): 329-341 (2015) - [j15]Lawrence H. Baer, Min Tae M. Park, Jennifer Anne Bailey, M. Mallar Chakravarty, K. Z. H. Li, Virginia B. Penhune:
Regional cerebellar volumes are related to early musical training and finger tapping performance. NeuroImage 109: 130-139 (2015) - [j14]Paul A. Yushkevich, Robert S. C. Amaral, Jean C. Augustinack, Andrew R. Bender, Jeffrey D. Bernstein, Marina Boccardi, Martina Bocchetta, Alison C. Burggren, Valerie A. Carr, M. Mallar Chakravarty, Gaël Chételat, Ana M. Daugherty, Lila Davachi, Song-Lin Ding, Arne D. Ekstrom, Mirjam I. Geerlings, Abdul Hassan, Yushan Huang, Juan Eugenio Iglesias, Renaud La Joie, Geoffrey A. Kerchner, Karen F. LaRocque, Laura A. Libby, Nikolai Malykhin, Susanne G. Mueller, Rosanna K. Olsen, Daniela J. Palombo, Mansi B. Parekh:
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: Towards a harmonized segmentation protocol. NeuroImage 111: 526-541 (2015) - [c7]Nikhil Bhagwat, Jon Pipitone, Aristotle N. Voineskos, Jens C. Pruessner, M. Mallar Chakravarty:
Improving multi-atlas segmentation accuracy by leveraging local neighborhood information during label-fusion. ISBI 2015: 617-620 - 2014
- [j13]Miriam Friedel, Matthijs C. van Eede, Jon Pipitone, M. Mallar Chakravarty, Jason P. Lerch:
Pydpiper: a flexible toolkit for constructing novel registration pipelines. Frontiers Neuroinformatics 8: 67 (2014) - [j12]Angelita Pui-Yee Wong, Jon Pipitone, Min Tae M. Park, Erin W. Dickie, Gabriel Leonard, Michel Perron, G. Bruce Pike, Louis Richer, Suzanne Veillette, M. Mallar Chakravarty, Zdenka Pausova, Tomás Paus:
Estimating volumes of the pituitary gland from T1-weighted magnetic-resonance images: Effects of age, puberty, testosterone, and estradiol. NeuroImage 94: 216-221 (2014) - [j11]Min Tae M. Park, Jon Pipitone, Lawrence H. Baer, Julie L. Winterburn, Yashvi Shah, Sofia Chavez, Mark M. Schira, Nancy J. Lobaugh, Jason P. Lerch, Aristotle N. Voineskos, M. Mallar Chakravarty:
Derivation of high-resolution MRI atlases of the human cerebellum at 3 T and segmentation using multiple automatically generated templates. NeuroImage 95: 217-231 (2014) - [j10]Jon Pipitone, Min Tae M. Park, Julie L. Winterburn, Tristram A. Lett, Jason P. Lerch, Jens C. Pruessner, Martin D. Lepage, Aristotle N. Voineskos, M. Mallar Chakravarty:
Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates. NeuroImage 101: 494-512 (2014) - 2013
- [j9]Julie L. Winterburn, Jens C. Pruessner, Sofia Chavez, Mark M. Schira, Nancy J. Lobaugh, Aristotle N. Voineskos, M. Mallar Chakravarty:
A novel in vivo atlas of human hippocampal subfields using high-resolution 3 T magnetic resonance imaging. NeuroImage 74: 254-265 (2013) - [j8]Klára Marecková, M. Mallar Chakravarty, Mei Huang, Claire Lawrence, Gabriel Leonard, Michel Perron, G. Bruce Pike, Louis Richer, Suzanne Veillette, Zdenka Pausova, Tomás Paus:
Does skull shape mediate the relationship between objective features and subjective impressions about the face? NeuroImage 79: 234-240 (2013) - [j7]Matthijs C. van Eede, Jan Scholz, M. Mallar Chakravarty, R. Mark Henkelman, Jason P. Lerch:
Mapping registration sensitivity in MR mouse brain images. NeuroImage 82: 226-236 (2013) - 2012
- [c6]Yiming Xiao, Lara Bailey, M. Mallar Chakravarty, Silvain Bériault, Abbas F. Sadikot, G. Bruce Pike, D. Louis Collins:
Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts. IPCAI 2012: 135-145 - 2011
- [j6]Stephen Frey, Deepak N. Pandya, M. Mallar Chakravarty, Lara Bailey, Michael Petrides, D. Louis Collins:
An MRI based average macaque monkey stereotaxic atlas and space (MNI monkey space). NeuroImage 55(4): 1435-1442 (2011) - 2010
- [j5]Sandra E. Leh, Alain Ptito, Marc Schönwiesner, M. Mallar Chakravarty, Kathy T. Mullen:
Blindsight Mediated by an S-Cone-independent Collicular Pathway: An fMRI Study in Hemispherectomized Subjects. J. Cogn. Neurosci. 22(4): 670-682 (2010) - [j4]Sune Nørhøj Jespersen, Carsten Reidies Bjarkam, Jens R. Nyengaard, M. Mallar Chakravarty, Brian Hansen, Thomas Vosegaard, Leif Østergaard, Dmitriy A. Yablonskiy, Niels Chr. Nielsen, Peter Vestergaard-Poulsen:
Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy. NeuroImage 49(1): 205-216 (2010)
2000 – 2009
- 2008
- [j3]Sandra E. Leh, M. Mallar Chakravarty, Alain Ptito:
The Connectivity of the Human Pulvinar: A Diffusion Tensor Imaging Tractography Study. Int. J. Biomed. Imaging 2008: 789539:1-789539:5 (2008) - [j2]M. Mallar Chakravarty, Abbas F. Sadikot, Jürgen Germann, Gilles Bertrand, D. Louis Collins:
Towards a validation of atlas warping techniques. Medical Image Anal. 12(6): 713-726 (2008) - [c5]M. Mallar Chakravarty, Barry J. Bedell, Simone P. Zehntner, Alan C. Evans, D. Louis Collins:
Three-dimensional reconstruction of serial histological mouse brain sections. ISBI 2008: 987-990 - [c4]M. Mallar Chakravarty, Pedro Rosa-Neto, Scott Broadbent, Alan C. Evans, D. Louis Collins:
Development of FMRI techniques for planning in functional neurosurgery for Parkinson's disease. ISBI 2008: 1259-1262 - 2006
- [j1]M. Mallar Chakravarty, Gilles Bertrand, Charles P. Hodge, Abbas F. Sadikot, D. Louis Collins:
The creation of a brain atlas for image guided neurosurgery using serial histological data. NeuroImage 30(2): 359-376 (2006) - [c3]M. Mallar Chakravarty, Abbas F. Sadikot, Sanjay Mongia, Gilles Bertrand, D. Louis Collins:
Towards a Multi-modal Atlas for Neurosurgical Planning. MICCAI (2) 2006: 389-396 - 2005
- [c2]M. Mallar Chakravarty, Abbas F. Sadikot, Jürgen Germann, Gilles Bertrand, D. Louis Collins:
Anatomical and Electrophysiological Validation of an Atlas for Neurosurgical Planning. MICCAI (2) 2005: 394-401 - 2003
- [c1]M. Mallar Chakravarty, Gilles Bertrand, Maxime Descoteaux, Abbas F. Sadikot, D. Louis Collins:
The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data. MICCAI (1) 2003: 343-350
Coauthor Index
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