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2020 – today
- 2023
[j20]Peter van Gelderen, Xu Li, Jacco A. de Zwart, Erin S. Beck, Serhat V. Okar, Yujia Huang
, KuoWei Lai, Jeremias Sulam, Peter C. M. van Zijl, Daniel S. Reich, Jeff H. Duyn, Jiaen Liu:
Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R2* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T. NeuroImage 270: 119992 (2023)- 2022
- [i6]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) - [i5]Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S. Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, Julien Cohen-Adad:
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch? CoRR abs/2210.15091 (2022) - 2021
- [j19]Can Zhao, Blake E. Dewey, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince:
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. IEEE Trans. Medical Imaging 40(3): 805-817 (2021) - [i4]Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy:
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. CoRR abs/2103.02767 (2021) - 2020
- [j18]Julia Wrobel, M. L. Martin, Rohit Bakshi, Peter A. Calabresi, M. Elliot, David R. Roalf, Ruben C. Gur, Raquel E. Gur, Roland G. Henry, Govind Nair, Jiwon Oh, Nico Papinutto, Daniel Pelletier, Daniel S. Reich, W. D. Rooney, Theodore D. Satterthwaite, William Stern, Karthik Prabhakaran, Jeff Goldsmith:
Intensity warping for multisite MRI harmonization. NeuroImage 223: 117242 (2020) - [j17]Govind Nair, Stephen J. Dodd, Seung-Kwon Ha, Alan P. Koretsky, Daniel S. Reich:
Ex vivo MR microscopy of a human brain with multiple sclerosis: Visualizing individual cells in tissue using intrinsic iron. NeuroImage 223: 117285 (2020) - [c13]Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy:
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. SASHIMI@MICCAI 2020: 1-10 - [c12]Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra:
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. MICCAI (4) 2020: 584-593 - [i3]Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra:
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. CoRR abs/2008.06780 (2020)
2010 – 2019
- 2018
- [j16]Jacco A. de Zwart, Peter van Gelderen, Matthew Schindler, Pascal Sati, Jiaen Liu, Daniel S. Reich, Jeff H. Duyn:
Impulse response timing differences in BOLD and CBV weighted fMRI. NeuroImage 181: 292-300 (2018) - [c11]Can Zhao, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi, Daniel S. Reich, Pascal Sati, Dzung L. Pham, Jerry L. Prince:
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. MICCAI (1) 2018: 100-108 - [i2]Snehashis Roy, John A. Butman, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham:
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks. CoRR abs/1803.09172 (2018) - [i1]Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Elise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria Assunta Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios C. Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth A. Smith, Constantina Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Vincent Auclair, Donald G. McLaren, Allan R. Martin, Michael G. Fehlings, Shahabeddin Vahdat, Ali Khatibi, Julien Doyon, Timothy M. Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad:
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. CoRR abs/1805.06349 (2018) - 2016
- [j15]Amanda F. Mejia, Elizabeth M. Sweeney, Blake Dewey, Govind Nair, Pascal Sati, Colin Shea, Daniel S. Reich, Russell T. Shinohara:
Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging. NeuroImage 133: 176-188 (2016) - 2015
- [j14]Snehashis Roy, Qing He, Elizabeth M. Sweeney, Aaron Carass, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham:
Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation. IEEE J. Biomed. Health Informatics 19(5): 1598-1609 (2015) - 2014
- [j13]Andrew J. Asman, Frederick W. Bryan, Seth A. Smith, Daniel S. Reich, Bennett A. Landman:
Groupwise multi-atlas segmentation of the spinal cord's internal structure. Medical Image Anal. 18(3): 460-471 (2014) - [j12]Katherine C. Gao, Govind Nair, Irene C. M. Cortese, Alan P. Koretsky, Daniel S. Reich:
Sub-millimeter imaging of brain-free water for rapid volume assessment in atrophic brains. NeuroImage 100: 370-378 (2014) - [c10]Snehashis Roy, Qing He, Aaron Carass, Amod Jog, Jennifer L. Cuzzocreo, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham:
Example based lesion segmentation. Medical Imaging: Image Processing 2014: 90341Y - 2013
- [j11]Pascal Sati, Peter van Gelderen, Afonso C. Silva, Daniel S. Reich, Hellmut Merkle, Jacco A. de Zwart, Jeff H. Duyn:
Micro-compartment specific T2⁎ relaxation in the brain. NeuroImage 77: 268-278 (2013) - [j10]Lei Huang, Jeff Goldsmith, Philip T. Reiss, Daniel S. Reich, Ciprian M. Crainiceanu:
Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes. NeuroImage 83: 210-223 (2013) - [j9]Min Chen, Aaron Carass, Jiwon Oh, Govind Nair, Dzung L. Pham, Daniel S. Reich, Jerry L. Prince:
Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. NeuroImage 83: 1051-1062 (2013) - [c9]Snehashis Roy, Aaron Carass, Navid Shiee, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince:
Longitudinal intensity normalization in the presence of multiple sclerosis lesions. ISBI 2013: 1384-1387 - [c8]Qing He, Navid Shiee, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham:
Intensity standardization of longitudinal images using 4D clustering. ISBI 2013: 1388-1391 - [c7]Andrew J. Asman, Seth A. Smith, Daniel S. Reich, Bennett A. Landman:
Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion. MICCAI (1) 2013: 759-767 - [c6]Min Chen, Aaron Carass, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham, Jerry L. Prince:
Voxel-wise displacement as independent features in classification of multiple sclerosis. Medical Imaging: Image Processing 2013: 86690K - [c5]Russell T. Shinohara, Ciprian S. Crainiceanu, Brian S. Caffo, Daniel S. Reich:
Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. PRNI 2013: 37-41 - 2012
- [j8]Pascal Sati, Afonso C. Silva, Peter van Gelderen, María Inés Gaitán, Jillian E. Wohler, Steven Jacobson, Jeff H. Duyn, Daniel S. Reich:
In vivo quantification of T2⁎ anisotropy in white matter fibers in marmoset monkeys. NeuroImage 59(2): 979-985 (2012) - 2011
- [j7]Jeff Goldsmith, Ciprian M. Crainiceanu, Brian S. Caffo, Daniel S. Reich:
Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. NeuroImage 57(2): 431-439 (2011) - [j6]Russell T. Shinohara, Ciprian M. Crainiceanu, Brian S. Caffo, María Inés Gaitán, Daniel S. Reich:
Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. NeuroImage 57(4): 1430-1446 (2011) - [j5]Pierre-Louis Bazin, Chuyang Ye, John A. Bogovic, Navid Shiee, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham:
Direct segmentation of the major white matter tracts in diffusion tensor images. NeuroImage 58(2): 458-468 (2011) - [c4]Navid Shiee, Pierre-Louis Bazin, Peter A. Calabresi, Daniel S. Reich, Dzung L. Pham:
Fiber tractogrophy and tract segmentation in multiple sclerosis lesions. ISBI 2011: 1488-1491 - [c3]Min Chen, Aaron Carass, Jennifer L. Cuzzocreo, Pierre-Louis Bazin, Daniel S. Reich, Jerry L. Prince:
Topology preserving automatic segmentation of the spinal cord in magnetic resonance images. ISBI 2011: 1737-1740 - 2010
- [j4]Navid Shiee, Pierre-Louis Bazin, Arzu Ozturk, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham:
A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. NeuroImage 49(2): 1524-1535 (2010) - [j3]Daniel S. Reich, Arzu Ozturk, Peter A. Calabresi, Susumu Mori:
Automated vs. conventional tractography in multiple sclerosis: Variability and correlation with disability. NeuroImage 49(4): 3047-3056 (2010)
2000 – 2009
- 2009
- [c2]Navid Shiee, Pierre-Louis Bazin, Daniel S. Reich, Dzung L. Pham:
Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients. ISBI 2009: 1334-1337 - [c1]Pierre-Louis Bazin, John A. Bogovic, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham:
Belief Propagation Based Segmentation of White Matter Tracts in DTI. MICCAI (1) 2009: 943-950 - 2008
- [j2]Kegang Hua, Jiangyang Zhang, Setsu Wakana, Hangyi Jiang, Xin Li, Daniel S. Reich, Peter A. Calabresi, James J. Pekar, Peter C. M. van Zijl, Susumu Mori:
Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification. NeuroImage 39(1): 336-347 (2008) - 2007
- [j1]Daniel S. Reich, Seth A. Smith, Kathleen M. Zackowski, Eliza M. Gordon-Lipkin, Craig K. Jones, Jonathan A. D. Farrell, Susumu Mori, Peter C. M. van Zijl, Peter A. Calabresi:
Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis. NeuroImage 38(2): 271-279 (2007)
Coauthor Index
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