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Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.

F. Hu, A. Chen, H. Horng, V. Bashyam, C. Davatzikos, A. Alexander-Bloch, M. Li, H. Shou, T. Satterthwaite, M. Yu, and R. Shinohara. NeuroImage, (July 2023)

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Kenichi Shinohara

Dieter Russell

Wolter Russell

Russell Kleckley

Russell Stinson

Other publications of authors with the same name

Iterative ComBat methods for harmonization of radiomic features.H. Horng, A. Singh, B. Yousefi, E. Cohen, B. Haghighi, S. Katz, P. Noël, R. Shinohara, and D. Kontos. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.S. Bakas, G. Shukla, H. Akbari, G. Erus, A. Sotiras, S. Rathore, C. Sako, S. Ha, M. Rozycki, A. Singh and 3 other author(s). Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113151S. SPIE, (2020)Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivityR. Ciric, D. Wolf, J. Power, D. Roalf, G. Baum, K. Ruparel, R. Shinohara, M. Elliott, S. Eickhoff, C. Davatzikos and 4 other author(s). (Aug 11, 2016)Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion.M. Dong, I. Oguz, N. Subbana, P. Calabresi, R. Shinohara, and P. Yushkevich. Patch-MI@MICCAI, volume 10530 of Lecture Notes in Computer Science, page 138-145. Springer, (2017)Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices.H. Zhang, A. Valcarcel, R. Bakshi, R. Chu, F. Bagnato, R. Shinohara, K. Hett, and I. Oguz. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 338-346. Springer, (2019)The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.S. Pati, A. Singh, S. Rathore, A. Gastounioti, M. Bergman, P. Ngo, S. Ha, D. Bounias, J. Minock, G. Murphy and 15 other author(s). BrainLes@MICCAI (2), volume 11993 of Lecture Notes in Computer Science, page 380-394. Springer, (2019)Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.F. Hu, A. Chen, H. Horng, V. Bashyam, C. Davatzikos, A. Alexander-Bloch, M. Li, H. Shou, T. Satterthwaite, M. Yu and 1 other author(s). NeuroImage, (July 2023)Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging.R. Shinohara, C. Crainiceanu, B. Caffo, and D. Reich. PRNI, page 37-41. IEEE, (2013)Sex-biased trajectories of amygdalo-hippocampal morphology change over human development.A. Fish, A. Nadig, J. Seidlitz, P. Reardon, C. Mankiw, C. McDermott, J. Blumenthal, L. Clasen, F. Lalonde, J. Lerch and 3 other author(s). NeuroImage, (2020)Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation.J. Luna, A. Barsky, R. Shinohara, A. Dreyfuss, L. Roshkovan, M. Hershman, B. Haghighi, B. Yousefi, P. Noël, K. Cengel and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)

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Disambiguation of "Shinohara, Russell T."

Please choose a person to relate this publication to

Kenichi Shinohara

Dieter Russell

Wolter Russell

Russell Kleckley

Russell Stinson

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shinohara, Russell T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.

Please choose a person to relate this publication to

Kenichi Shinohara

Dieter Russell

Wolter Russell

Russell Kleckley

Russell Stinson

Other publications of authors with the same name

Disambiguation