Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Towards Practical Unsupervised Anomaly Detection on Retinal Images.

K. Ouardini, H. Yang, B. Unnikrishnan, M. Romain, C. Garcin, H. Zenati, J. Campbell, M. Chiang, J. Kalpathy-Cramer, V. Chandrasekhar, P. Krishnaswamy, and C. Foo. DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 225-234. Springer, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Unnikrishnan, Balagopal

add a person with the name Unnikrishnan, Balagopal

Other publications of authors with the same name

Deep Learning Models for Tuberculosis Detection from Chest X-ray Images.Q. Nguyen, B. Nguyen, S. Dao, B. Unnikrishnan, R. Dhingra, S. Ravichandran, S. Satpathy, N. Palaparthi, and M. Chua. ICT, page 381-385. IEEE, (2019)Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN).R. Dutta, S. Raju, A. James, L. Chemmanda, Y. Jeon, B. Unnikrishnan, C. Foo, Z. Zeng, K. Chai, and V. Chandrasekhar. SoCC, page 394-399. IEEE, (2019)Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations.N. Koohbanani, B. Unnikrishnan, S. Khurram, P. Krishnaswamy, and N. Rajpoot. CoRR, (2020)Diverse and consistent multi-view networks for semi-supervised regression.C. Nguyen, A. Raja, L. Zhang, X. Xu, B. Unnikrishnan, M. Ragab, K. Lu, and C. Foo. Mach. Learn., 112 (7): 2359-2395 (July 2023)Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images.B. Lecouat, K. Chang, C. Foo, B. Unnikrishnan, J. Brown, H. Zenati, A. Beers, V. Chandrasekhar, J. Kalpathy-Cramer, and P. Krishnaswamy. CoRR, (2018)Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean.B. Unnikrishnan, C. Nguyen, S. Balaram, C. Li, C. Foo, and P. Krishnaswamy. CoRR, (2021)CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.J. Chao, A. Badawi, B. Unnikrishnan, J. Lin, C. Mun, J. Brown, J. Campbell, M. Chiang, J. Kalpathy-Cramer, V. Chandrasekhar and 2 other author(s). CoRR, (2019)Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments.B. Unnikrishnan, P. Singh, X. Yang, and M. Chua. CoRR, (2020)Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean.B. Unnikrishnan, C. Nguyen, S. Balaram, C. Foo, and P. Krishnaswamy. MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 624-634. Springer, (2020)Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations.N. Koohbanani, B. Unnikrishnan, S. Khurram, P. Krishnaswamy, and N. Rajpoot. IEEE Trans. Medical Imaging, 40 (10): 2845-2856 (2021)

BibSonomy

Disambiguation of "Unnikrishnan, Balagopal"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Towards Practical Unsupervised Anomaly Detection on Retinal Images.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Unnikrishnan, Balagopal"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Practical Unsupervised Anomaly Detection on Retinal Images.

Please choose a person to relate this publication to

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
Harvard
MSOffice XML

Towards Practical Unsupervised Anomaly Detection on Retinal Images.