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Computational identification and quantification of trabecular microarchitecture classes by 3-D texture analysis-based clustering

A. Valentinitsch, J. Patsch, A. Burghardt, T. Link, S. Majumdar, L. Fischer, C. Schueller-Weidekamm, H. Resch, F. Kainberger, and G. Langs. Bone, 54 (1): 133--140 (2013)

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Sharmila Kohli

Sharmila Hause

Sudipta Majumdar

Rupak Majumdar

Amitabha Majumdar

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Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique.S. Banerjee, E. Ozturk-Isik, S. Nelson, and S. Majumdar. EMBC, page 1866-1869. IEEE, (2006)Adversarial Policy Gradient for Deep Learning Image Augmentation.K. Cheng, C. Iriondo, F. Calivá, J. Krogue, S. Majumdar, and V. Pedoia. MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 450-458. Springer, (2019)Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning.N. Namiri, I. Flament, B. Astuto, R. Shah, R. Tibrewala, F. Calivá, T. Link, V. Pedoia, and S. Majumdar. CoRR, (2020)Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.R. Shah, B. Nunes, T. Gleason, W. Fletcher, J. Banaga, K. Sweetwood, A. Ye, R. Patel, K. McGill, T. Link and 3 other author(s). J. Digit. Imaging, 36 (2): 401-413 (April 2023)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.A. Desai, F. Calivá, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akçakaya, U. Bagci and 19 other author(s). CoRR, (2020)Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls.R. Bhattacharjee, Z. Akkaya, J. Luitjens, P. Su, Y. Yang, V. Pedoia, and S. Majumdar. CoRR, (2023)The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities.N. Konovalova, A. Tolpadi, F. Liu, Z. Akkaya, F. Gassert, P. Giesler, J. Luitjens, M. Han, E. Bahroos, S. Majumdar and 1 other author(s). CoRR, (2024)Clinical validation of rapid GPU-enabled DTI tractography of the brain.F. Liu, V. Sankaranarayanan, J. Villanueva-Meyer, S. Hervey-Jumper, J. Hawkins, P. Damasceno, M. Bisson, J. Romero, T. Kurth, M. Fatica and 4 other author(s). High Performance Computing for Imaging, page 1-4. Society for Imaging Science and Technology, (2023)Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique.J. Lupo, S. Banerjee, D. Kelley, D. Xu, D. Vigneron, S. Majumdar, and S. Nelson. EMBC, page 747-750. IEEE, (2006)Partially Parallel MR Spectroscopic Imaging of Gliomas at 3T.E. Ozturk, S. Banerjee, S. Majumdar, and S. Nelson. EMBC, page 493-496. IEEE, (2006)

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Disambiguation of "Majumdar, Sharmila"

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Computational identification and quantification of trabecular microarchitecture classes by 3-D texture analysis-based clustering

Please choose a person to relate this publication to

Sharmila Kohli

Sharmila Hause

Sudipta Majumdar

Rupak Majumdar

Amitabha Majumdar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Majumdar, Sharmila"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Computational identification and quantification of trabecular microarchitecture classes by 3-D texture analysis-based clustering

Please choose a person to relate this publication to

Sharmila Kohli

Sharmila Hause

Sudipta Majumdar

Rupak Majumdar

Amitabha Majumdar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Computational identification and quantification of trabecular microarchitecture classes by 3-D texture analysis-based clustering