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ORCIDGanapathy Krishnamurthi
Ganapathi Krishnamurthi
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2020 – today
- 2023
[j12]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023)- [c18]Rohan Padhy, Akansh Maurya, Kunal Dasharath Patil, Kalluri Ramakrishna, Ganapathy Krishnamurthi:
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net. ISBI 2023: 1-4 - [i16]Vikas Dwivedi, Balaji Srinivasan, Ganapathy Krishnamurthi:
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation. CoRR abs/2311.07002 (2023) - 2022
- [j11]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [i15]Akansh Maurya, Kunal Dashrath Patil, Rohan Padhy, Kalluri Ramakrishna, Ganapathy Krishnamurthi:
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net. CoRR abs/2208.09636 (2022) - 2021
- [j10]Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. 15: 651959 (2021) - [j9]Yoo Jung Kim, Hyungjoon Jang, Kyoungbun Lee, Seongkeun Park, Sung-Gyu Min, Choyeon Hong, Jeong Hwan Park, Kanggeun Lee, Jisoo Kim, Wonjae Hong, Hyun Jung, Yanling Liu, Haran Rajkumar, Mahendra Khened, Ganapathy Krishnamurthi, Sen Yang, Xiyue Wang, Chang Hee Han, Jinwook Choi:
PAIP 2019: Liver cancer segmentation challenge. Medical Image Anal. 67: 101854 (2021) - [c17]Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar, Rohit Kalla, Vikas Kumar Anand, Ganapathy Krishnamurthi:
A Study on Criteria for Training Collaborator Selection in Federated Learning. BrainLes@MICCAI (2) 2021: 470-480 - [i14]Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. CoRR abs/2101.01546 (2021) - 2020
- [j8]Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. 14: 6 (2020) - [c16]Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. BrainLes@MICCAI (2) 2020: 310-319 - [i13]Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi:
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. CoRR abs/2001.00258 (2020) - [i12]Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
2018 Robotic Scene Segmentation Challenge. CoRR abs/2001.11190 (2020) - [i11]Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi:
Structurally aware bidirectional unpaired image to image translation between CT and MR. CoRR abs/2006.03374 (2020) - [i10]Manik Sharma, Ganapathy Krishnamurthi:
Distangling Biological Noise in Cellular Images with a focus on Explainability. CoRR abs/2007.05743 (2020) - [i9]Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan:
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. CoRR abs/2008.06457 (2020)
2010 – 2019
- 2019
- [j7]Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi:
Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers. Medical Image Anal. 51: 21-45 (2019) - [c15]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c14]Mazhar Shaikh, Varghese Alex Kollerathu, Ganapathy Krishnamurthi:
Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical Images. ISBI 2019: 1260-1264 - [i8]Avinash Kori, Ganapathi Krishnamurthi:
Zero Shot Learning for Multi-Modal Real Time Image Registration. CoRR abs/1908.06213 (2019) - [i7]Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi:
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. CoRR abs/1909.01498 (2019) - 2018
- [j6]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c13]Vikas Kumar Anand, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi:
Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps. BrainLes@MICCAI (1) 2018: 328-334 - [c12]Aditya Bagari, Ashish Kumar, Avinash Kori, Mahendra Khened, Ganapathy Krishnamurthi:
A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. BrainLes@MICCAI (1) 2018: 416-427 - [c11]Avinash Kori, Mehul Soni, B. Pranjal, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi:
Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. BrainLes@MICCAI (2) 2018: 485-496 - [i6]Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi:
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers. CoRR abs/1801.05173 (2018) - [i5]Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi:
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. CoRR abs/1802.02182 (2018) - [i4]Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan:
Enhanced Image Classification With Data Augmentation Using Position Coordinates. CoRR abs/1802.02183 (2018) - [i3]Vismay Agrawal, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi:
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. CoRR abs/1809.05216 (2018) - 2017
- [j5]Athira J. Jacob, Ganapathy Krishnamurthi, Manikandan Mathur:
Estimation of myocardial deformation using correlation image velocimetry. BMC Medical Imaging 17(1): 25:1-25:13 (2017) - [c10]Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi:
Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest. STACOM@MICCAI 2017: 140-151 - [c9]Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi:
Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis. BrainLes@MICCAI 2017: 216-225 - [c8]Mazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Alex Varghese, Ganapathy Krishnamurthi:
Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network. BrainLes@MICCAI 2017: 309-319 - [c7]Alex Varghese, Mohammed Safwan K. P., Sai Saketh Chennamsetty, Ganapathy Krishnamurthi:
Generative adversarial networks for brain lesion detection. Medical Imaging: Image Processing 2017: 101330G - [i2]Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi:
Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis. CoRR abs/1712.02066 (2017) - 2016
- [c6]Athira J. Jacob, Alex Varghese, Ganapathy Krishnamurthi:
Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming. STACOM@MICCAI 2016: 118-126 - [i1]Alex Varghese, Kiran Vaidhya, Subramaniam Thirunavukkarasu, Chandrasekharan Kesavdas, Ganapathy Krishnamurthi:
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. CoRR abs/1611.08664 (2016) - 2015
- [c5]Kiran Vaidhya, Subramaniam Thirunavukkarasu, Alex Varghese, Ganapathy Krishnamurthi:
Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders. Brainles@MICCAI 2015: 181-194 - 2014
- [j4]Joshua D. Warner, Maria V. Irazabal, Ganapathy Krishnamurthi, Bernard F. King, Vicente E. Torres, Bradley J. Erickson:
Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data. J. Digit. Imaging 27(4): 514-519 (2014) - 2013
- [j3]U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Peng Chuan Alvin Ang, Ganapathy Krishnamurthi, José C. R. Seabra, João M. Sanches, Jasjit S. Suri:
Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization. Comput. Methods Programs Biomed. 110(1): 66-75 (2013) - 2012
- [j2]Filippo Molinari, Ganapathy Krishnamurthi, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, Jasjit S. Suri:
Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration. IEEE Trans. Instrum. Meas. 61(4): 1054-1063 (2012) - 2011
- [c4]U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Peng Chuan Alvin Ang, Ganapathy Krishnamurthi, José C. R. Seabra, João M. Sanches, Jasjit S. Suri:
Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture. EMBC 2011: 4489-4492 - [c3]David L. Wilson, Madhusudhana Gargesha, Debashish Roy, Mohammed Q. Qutaish, Ganapathi Krishnamurthi, Kristin Sullivant, Patiwet Wuttisarnwattana, Hong Lu, Benjamin Moore, Christian Anderson:
Cryo-imaging of 70+GB mice: Image processing/visualization challenges and biotechnology applications. ISBI 2011: 224-229
2000 – 2009
- 2008
- [c2]Ganapathy Krishnamurthi, Tim Norwood, Manoj Varma:
Automated analysis of label-free spinning-disc microarray images. Image Processing: Algorithms and Systems 2008: 68120 - 2005
- [j1]Ganapathy Krishnamurthi, Keith M. Stantz, Rosemary Steinmetz, Vincent H. Gattone, Minsong Cao, Gary D. Hutchins, Yun Liang:
Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility. IEEE Trans. Medical Imaging 24(7): 832-843 (2005) - 2002
- [c1]Yun Liang, Ganapathy Krishnamurthi, Laigao Michael Chen, Cristopher A. Meyer:
Reproducibility of the coronary calcium measurement with different cardiac algorithms using multislice spiral CT. Medical Imaging: Image Processing 2002
Coauthor Index
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