Exploring the Discrimination Power of the Time Domain for Segmentation and Characterization of Lesions in Serial MR Data. - Guido Gerig; Daniel Welti; Charles R. G. Guttmann; Alan C. F. Colchester; Gábor Székely (MICCAI, 1998)

Feature-Based Registration of Medical Images: Estimation and Validation of the Pose Accuracy. - Xavier Pennec; Charles R. G. Guttmann; Jean-Philippe Thirion (MICCAI, 1998)

3D Image Matching Using a Finite Element Based Elastic Deformation Model. - Matthieu Ferrant; Simon K. Warfield; Charles R. G. Guttmann; Robert V. Mulkern; Ferenc A. Jolesz; Ron Kikinis (MICCAI, 1999)

Fractional Segmentation of White Matter. - Simon K. Warfield; Carl-Fredrik Westin; Charles R. G. Guttmann; Marilyn S. Albert; Ferenc A. Jolesz; Ron Kikinis (MICCAI, 1999)

Exploring the discrimination power of the time domain for segmentation and characterization of active lesions in serial MR data. - Guido Gerig; Daniel Welti; Charles R. G. Guttmann; Alan C. F. Colchester; Gábor Székely (Medical Image Anal., 2000)

Unsupervised and Adaptive Segmentation of Multispectral 3D Magnetic Resonance Images of Human Brain: A Generic Approach. - Chahin Pachai; Yue Min Zhu; Charles R. G. Guttmann; Ron Kikinis; Ferenc A. Jolesz; Gérard Gimenez; Jean-Claude Froment; Christian Confavreux; Simon K. Warfield (MICCAI, 2001)

A Novel Nonrigid Registration Algorithm and Applications. - Jan Rexilius; Simon K. Warfield; Charles R. G. Guttmann; X. Wei; R. Benson; L. Wolfson; Martha Elizabeth Shenton; Heinz Handels; Ron Kikinis (MICCAI, 2001)

Multiresolution Data Acquisition and Detection in Functional MRI. - Seung-Schik Yoo; Charles R. G. Guttmann; Lawrence P. Panych (NeuroImage, 2001)

Deformable registration of DT-MRI data based on transformation invariant tensor characteristics. - Alexandre Guimond; Charles R. G. Guttmann; Simon K. Warfield; Carl-Fredrik Westin (ISBI, 2002)

Automatic Statistical Identification of Neuroanatomical Abnormalities between Different Populations. - Alexandre Guimond; Svetlana Egorova; Ronald J. Killiany; Marilyn S. Albert; Charles R. G. Guttmann (MICCAI (1), 2002)

Computation of transmitted and received B1 fields in magnetic resonance imaging. - Julien Milles; Yue Min Zhu; Nankuei Chen; Lawrence P. Panych; Gérard Gimenez; Charles R. G. Guttmann (CARS, 2003)

Diffusion Tensor and Functional MRI Fusion with Anatomical MRI for Image-Guided Neurosurgery. - Ion-Florin Talos; Lauren O'Donnell; Carl-Fredrik Westin; Simon K. Warfield; William M. Wells III; Seung-Schik Yoo; Lawrence P. Panych; Alexandra J. Golby; Hatsuho Mamata; Stefan S. Maier; Peter Ratiu; Charles R. G. Guttmann; et al. (MICCAI (1), 2003)

Holographic Video Display of Time-Series Volumetric Medical Data. - Wendy Plesniak; Michael Halle; Steven D. Pieper; William M. Wells III; Marianna Jakab; Dominik S. Meier; Stephen A. Benton; Charles R. G. Guttmann; Ron Kikinis (IEEE Visualization, 2003)

Selection of voxel size and slice orientation for fMRI in the presence of susceptibility field gradients: application to imaging of the amygdala. - Nankuei Chen; Chandlee C. Dickey; Seung-Schik Yoo; Charles R. G. Guttmann; Lawrence P. Panych (NeuroImage, 2003)

Functional MRI with variable echo time acquisition. - Nan-kuei Chen; Svetlana Egorova; Charles R. G. Guttmann; Lawrence P. Panych (NeuroImage, 2003)

Time-series analysis of MRI intensity patterns in multiple sclerosis. - Dominik S. Meier; Charles R. G. Guttmann (NeuroImage, 2003)

MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information. - Julien Milles; Yue Min Zhu; Nankuei Chen; Lawrence P. Panych; Gérard Gimenez; Charles R. G. Guttmann (Image Processing, 2004)

A method for the analysis of the geometrical relationship between white matter pathology and the vascular architecture of the brain. - Dorota Kozinska; Christopher M. Holland; Karl Krissian; Carl-Fredrik Westin; Charles R. G. Guttmann (NeuroImage, 2004)

Functional MRI of auditory verbal working memory: long-term reproducibility analysis. - Xingchang Wei; Seung-Schik Yoo; Chandlee C. Dickey; Kelly H. Zou; Charles R. G. Guttmann; Lawrence P. Panych (NeuroImage, 2004)

MRI time series modeling of MS lesion development. - Dominik S. Meier; Charles R. G. Guttmann (NeuroImage, 2006)

Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI. - Ying Wu; Simon K. Warfield; I. Leng Tan; William M. Wells III; Dominik S. Meier; Ronald A. van Schijndel; Frederik Barkhof; Charles R. G. Guttmann (NeuroImage, 2006)

Computation of Transmitted and Received B1 Fields in Magnetic Resonance Imaging. - Julien Milles; Yue Min Zhu; Nankuei Chen; Lawrence P. Panych; Gérard Gimenez; Charles R. G. Guttmann (IEEE Trans. Biomed. Eng., 2006)

MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information. - Julien Milles; Yue Min Zhu; Gérard Gimenez; Charles R. G. Guttmann; Isabelle E. Magnin (Comput. Medical Imaging Graph., 2007)

Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain Lesion Volume Estimation in Multiple Sclerosis. - Mark A. Horsfield; Rohit Bakshi; Marco Rovaris; Maria Assunta Rocca; V. S. R. Dandamudi; Paola Valsasina; Elda Judica; F. Lucchini; Charles R. G. Guttmann; Maria Pia Sormani; Massimo Filippi (IEEE Trans. Medical Imaging, 2007)

3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis. - Mohit Neema; Daniel Goldberg-Zimring; Zachary D. Guss; Brian C. Healy; Charles R. G. Guttmann; Maria K. Houtchens; Howard L. Weiner; Mark A. Horsfield; David B. Hackney; David C. Alsop; Rohit Bakshi (NeuroImage, 2009)

Reliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study. - Jeffrey Dewey; George Hana; Troy Russell; Jared Price; Daniel McCaffrey; Jaroslaw Harezlak; Ekta Sem; Joy C. Anyanwu; Charles R. G. Guttmann; Bradford Navia; Ronald Cohen; David F. Tate (NeuroImage, 2010)

Disease modeling in multiple sclerosis: Assessment and quantification of sources of variability in brain parenchymal fraction measurements. - Mehul P. Sampat; Brian C. Healy; Dominik S. Meier; Elisa Dell'Oglio; Maria Liguori; Charles R. G. Guttmann (NeuroImage, 2010)

Cognitive profile and brain morphological changes in obstructive sleep apnea. - Federico Torelli; Nicola Moscufo; Girolamo Garreffa; Fabio Placidi; Andrea Romigi; Silvana Zannino; Marco Bozzali; Fabrizio Fasano; Giovanni Giulietti; Ina Djonlagic; Atul Malhotra; Maria Grazia Marciani; et al. (NeuroImage, 2011)

Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis. - Alicia S. Chua; Svetlana Egorova; Mark C. Anderson; Mariann Polgar-Turcsanyi; Tanuja Chitnis; Howard L. Weiner; Charles R. G. Guttmann; Rohit Bakshi; Brian C. Healy (NeuroImage, 2015)

Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification. - Simon Mure; Thomas Grenier; Dominik S. Meier; Charles R. G. Guttmann; Hugues Benoit-Cattin (Pattern Recognit. Lett., 2015)

Unsupervised time-series clustering of distorted and asynchronous temporal patterns. - Simon Mure; Thomas Grenier; Charles R. G. Guttmann; Hugues Benoit-Cattin (ICASSP, 2016)

Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series. - Simon Mure; Thomas Grenier; Charles R. G. Guttmann; François Cotton; Hugues Benoit-Cattin (ISBI, 2016)

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. - Mohsen Ghafoorian; Alireza Mehrtash; Tina Kapur; Nico Karssemeijer; Elena Marchiori; Mehran Pesteie; Charles R. G. Guttmann; Frank-Erik de Leeuw; Clare M. Tempany; Bram van Ginneken; Andriy Fedorov; Purang Abolmaesumi; et al. (MICCAI (3), 2017)

Large deep neural networks for MS lesion segmentation. - Juan-Carlos Prieto 001; Michele Cavallari; Miklos Palotai; Alfredo Morales Pinzón; Svetlana Egorova; Martin Styner; Charles R. G. Guttmann (Image Processing, 2017)

Boutiques: a flexible framework for automated application integration in computing platforms. - Tristan Glatard; Gregory Kiar; Tristan Aumentado-Armstrong; Natacha Beck; Pierre Bellec; Rémi Bernard; Axel Bonnet; Sorina Camarasu-Pop; Frédéric Cervenansky; Samir Das; Rafael Ferreira da Silva; Guillaume Flandin; et al. (CoRR, 2017)

Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study. - Emil Svoboda; Tomás Boril; Jan Rusz; Tereza Tykalová; Dana Horáková; Charles R. G. Guttmann; Krastan B. Blagoev; Hiroto Hatabu; Vlad I. Valtchinov (Comput. Biol. Medicine, 2022)