Ganapathy Krishnamurthi

49 papers B 2Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Knowledge Distillation of SAM for Medical Image Segmentation. CoRR Kunal Dasharath Patil, Gowthamaan Palani, Ganapathy Krishnamurthi
2025	J	`jnl`	Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines. CoRR Rishi Mishra, Smriti, Ganapathy Krishnamurthi, Balaji Srinivasan, Sundararajan Natarajan
2025	—	`conf`	MedPAO: A Protocol-Driven Agent for Structuring Medical Reports. Agentic AI/CREATE/Clinical MLLMs@MICCAI Shrish Shrinath Vaidya, Gowthamaan Palani, Sidharth Ramesh, Velmurugan Balasubramanian, Minmini Selvam, Gokulraja Srinivasaraja, Ganapathy Krishnamurthi
2025	J	`jnl`	MedPAO: A Protocol-Driven Agent for Structuring Medical Reports. CoRR Shrish Shrinath Vaidya, Gowthamaan Palani, Sidharth Ramesh, Velmurugan Balasubramanian, Minmini Selvam, Gokulraja Srinivasaraja, Ganapathy Krishnamurthi
2025	J	`jnl`	Unsupervised Deep Learning Algorithm for Artifact Reduction in X-Ray CT Reconstruction From Truncated Data. IEEE Access Rohit Kalla, Balaji Srinivasan, Ganapathy Krishnamurthi
2023	J	`jnl`	PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation. CoRR Vikas Dwivedi, Balaji Srinivasan, Ganapathy Krishnamurthi
2023	—	`conf`	Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net. ISBI Rohan Padhy, Akansh Maurya, Kunal Dasharath Patil, Kalluri Ramakrishna, Ganapathy Krishnamurthi
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 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
2022	J	`jnl`	DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 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
2022	J	`jnl`	PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net. CoRR Akansh Maurya, Kunal Dashrath Patil, Rohan Padhy, Kalluri Ramakrishna, Ganapathy Krishnamurthi
2021	—	`conf`	A Study on Criteria for Training Collaborator Selection in Federated Learning. BrainLes@MICCAI (2) Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar, Rohit Kalla, Vikas Kumar Anand, Ganapathy Krishnamurthi
2021	J	`jnl`	Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. CoRR Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi
2021	J	`jnl`	Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
2021	J	`jnl`	PAIP 2019: Liver cancer segmentation challenge. Medical Image Anal. 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
2020	J	`jnl`	2018 Robotic Scene Segmentation Challenge. CoRR 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
2020	J	`jnl`	A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. CoRR Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi
2020	J	`jnl`	Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. CoRR Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan
2020	—	`conf`	Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. BrainLes@MICCAI (2) Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi
2020	J	`jnl`	Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
2020	J	`jnl`	Distangling Biological Noise in Cellular Images with a focus on Explainability. CoRR Manik Sharma, Ganapathy Krishnamurthi
2020	J	`jnl`	Structurally aware bidirectional unpaired image to image translation between CT and MR. CoRR Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi
2019	J	`jnl`	Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. CoRR Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
2019	J	`jnl`	Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers. Medical Image Anal. Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
2019	—	`conf`	NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 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
2019	—	`conf`	Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical Images. ISBI Mazhar Shaikh, Varghese Alex Kollerathu, Ganapathy Krishnamurthi
2018	J	`jnl`	2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. CoRR Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi
2018	—	`conf`	A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. BrainLes@MICCAI (1) Aditya Bagari, Ashish Kumar, Avinash Kori, Mahendra Khened, Ganapathy Krishnamurthi
2018	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 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
2018	J	`jnl`	Enhanced Image Classification With Data Augmentation Using Position Coordinates. CoRR Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan
2018	J	`jnl`	Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. CoRR Vismay Agrawal, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi
2018	—	`conf`	Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. BrainLes@MICCAI (2) Avinash Kori, Mehul Soni, B. Pranjal, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
2018	—	`conf`	Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps. BrainLes@MICCAI (1) Vikas Kumar Anand, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
2018	J	`jnl`	Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers. CoRR Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
2017	—	`conf`	Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis. BrainLes@MICCAI Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi
2017	J	`jnl`	Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis. CoRR Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi
2017	—	`conf`	Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network. BrainLes@MICCAI Mazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Alex Varghese, Ganapathy Krishnamurthi
2017	—	`conf`	Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest. STACOM@MICCAI Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
2017	J	`jnl`	Estimation of myocardial deformation using correlation image velocimetry. BMC Medical Imaging Athira J. Jacob, Ganapathy Krishnamurthi, Manikandan Mathur
2017	B	`conf`	Generative adversarial networks for brain lesion detection. Image Processing Alex Varghese, Mohammed Safwan K. P., Sai Saketh Chennamsetty, Ganapathy Krishnamurthi
2016	—	`conf`	Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming. STACOM@MICCAI Athira J. Jacob, Alex Varghese, Ganapathy Krishnamurthi
2016	J	`jnl`	Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. CoRR Alex Varghese, Kiran Vaidhya, Subramaniam Thirunavukkarasu, Chandrasekharan Kesavdas, Ganapathy Krishnamurthi
2015	—	`conf`	Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders. Brainles@MICCAI Kiran Vaidhya, Subramaniam Thirunavukkarasu, Alex Varghese, Ganapathy Krishnamurthi
2014	J	`jnl`	Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data. J. Digit. Imaging Joshua D. Warner, Maria V. Irazabal, Ganapathy Krishnamurthi, Bernard F. King, Vicente E. Torres, Bradley J. Erickson
2013	J	`jnl`	Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization. Comput. Methods Programs Biomed. U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Peng Chuan Alvin Ang, Ganapathy Krishnamurthi, José C. R. Seabra, João M. Sanches, Jasjit S. Suri
2012	J	`jnl`	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. Filippo Molinari, Ganapathy Krishnamurthi, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
2011	—	`conf`	Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture. EMBC U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Peng Chuan Alvin Ang, Ganapathy Krishnamurthi, José C. R. Seabra, João M. Sanches, Jasjit S. Suri
2008	—	`conf`	Automated analysis of label-free spinning-disc microarray images. Image Processing: Algorithms and Systems Ganapathy Krishnamurthi, Tim Norwood, Manoj Varma
2005	J	`jnl`	Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility. IEEE Trans. Medical Imaging Ganapathy Krishnamurthi, Keith M. Stantz, Rosemary Steinmetz, Vincent H. Gattone, Minsong Cao, Gary D. Hutchins, Yun Liang
2002	B	`conf`	Reproducibility of the coronary calcium measurement with different cardiac algorithms using multislice spiral CT. Image Processing Yun Liang, Ganapathy Krishnamurthi, Laigao Michael Chen, Cristopher A. Meyer