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PAIP 2019: Liver cancer segmentation challenge.

Y. Kim, H. Jang, K. Lee, S. Park, S. Min, C. Hong, J. Park, K. Lee, J. Kim, W. Hong, H. Jung, Y. Liu, H. Rajkumar, M. Khened, G. Krishnamurthi, S. Yang, X. Wang, C. Han, and J. Choi. Medical Image Anal., (2021)

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A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis.M. Khened, A. Kori, H. Rajkumar, B. Srinivasan, and G. Krishnamurthi. CoRR, (2020)Enhanced Image Classification With Data Augmentation Using Position Coordinates.A. Kori, G. Krishnamurthi, and B. Srinivasan. CoRR, (2018)Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility.G. Krishnamurthi, K. Stantz, R. Steinmetz, V. Gattone, M. Cao, G. Hutchins, and Y. Liang. IEEE Trans. Med. Imaging, 24 (7): 832-843 (2005)Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization.U. Acharya, O. Faust, S. Sree, P. Ang, G. Krishnamurthi, J. Seabra, J. Sanches, and J. Suri. Comput. Methods Programs Biomed., 110 (1): 66-75 (2013)Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images.A. Kori, M. Soni, B. Pranjal, M. Khened, A. Varghese, and G. Krishnamurthi. BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 485-496. Springer, (2018)Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis.A. Varghese, M. P., and G. Krishnamurthi. BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 216-225. Springer, (2017)The Liver Tumor Segmentation Benchmark (LiTS).P. Bilic, P. Christ, H. Li, E. Vorontsov, A. Ben-Cohen, G. Kaissis, A. Szeskin, C. Jacobs, G. Mamani, G. Chartrand and 99 other author(s). Medical Image Anal., (2023)Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture.V. Anand, S. Grampurohit, P. Aurangabadkar, A. Kori, M. Khened, R. Bhat, and G. Krishnamurthi. BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 310-319. Springer, (2020)Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis.P. Natekar, A. Kori, and G. Krishnamurthi. CoRR, (2019)Estimation of myocardial deformation using correlation image velocimetry.A. Jacob, G. Krishnamurthi, and M. Mathur. BMC Medical Imaging, 17 (1): 25:1-25:13 (2017)

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Disambiguation of "Krishnamurthi, Ganapathy"

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PAIP 2019: Liver cancer segmentation challenge.

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Disambiguation of "Krishnamurthi, Ganapathy"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PAIP 2019: Liver cancer segmentation challenge.

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PAIP 2019: Liver cancer segmentation challenge.