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A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.

L. Tran, D. Banerjee, X. Sun, J. Wang, A. Kumar, D. Vinning, F. McKenzie, Y. Li, and J. Li. MLMI, volume 7009 of Lecture Notes in Computer Science, page 265-272. Springer, (2011)

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Abhishek Banerjee

Prabuddha Banerjee

Mita Banerjee

Nandakishore Banerjee

Ishan Banerjee

Other publications of authors with the same name

High-dimensional MRI data analysis using a large-scale manifold learning approach.L. Tran, D. Banerjee, J. Wang, A. Kumar, F. McKenzie, Y. Li, and J. Li. Mach. Vis. Appl., 24 (5): 995-1014 (2013)Prediction of brain tumor progression using multiple histogram matched MRI scans.D. Banerjee, L. Tran, J. Li, Y. Shen, F. McKenzie, and J. Wang. Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79632U. SPIE, (2011)A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis.D. Banerjee, K. Islam, G. Mei, L. Xiao, G. Zhang, R. Xu, S. Ji, and J. Li. ICDM, page 11-20. IEEE Computer Society, (2017)Feature selection for RFID tag identification.D. Banerjee, J. Li, J. Di, and D. Thompson. CHINACOM, page 218-221. IEEE, (2012)Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection.D. Banerjee. Old Dominion University, Norfolk, Virginia, USA, (2017)base-search.net (ftolddominionuni:oai:digitalcommons.odu.edu:ece_etds-1031).Prediction of brain tumor progression using a machine learning technique.Y. Shen, D. Banerjee, J. Li, A. Chandler, Y. Shen, F. McKenzie, and J. Wang. Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 762425. SPIE, (2010)Deep learning for effective detection of excavated soil related to illegal tunnel activities.D. Ibañez, D. Banerjee, C. Kwan, M. Dao, Y. Shen, K. Koperski, G. Marchisio, and J. Li. UEMCON, page 626-632. IEEE, (2017)A combination of CBR and bottom up approach for fever detection.S. Deyashi, D. Banerjee, and B. Chakraborty. INDIN, page 962-967. IEEE, (2012)A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.L. Tran, D. Banerjee, X. Sun, J. Wang, A. Kumar, D. Vinning, F. McKenzie, Y. Li, and J. Li. MLMI, volume 7009 of Lecture Notes in Computer Science, page 265-272. Springer, (2011)

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Disambiguation of "Banerjee, Debrup"

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A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.

Please choose a person to relate this publication to

Abhishek Banerjee

Prabuddha Banerjee

Mita Banerjee

Nandakishore Banerjee

Ishan Banerjee

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Banerjee, Debrup"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.

Please choose a person to relate this publication to

Abhishek Banerjee

Prabuddha Banerjee

Mita Banerjee

Nandakishore Banerjee

Ishan Banerjee

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
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APA
Chicago
DIN 1505
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A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.