Publications

Our research spans medical image reconstruction, deep learning, and computational imaging. Below you'll find our published work in journals, conferences, and preprints.

95
Total Publications
68
Journal Articles
14
Conference Papers
0
Awards
Showing 95 publications

2026

1
Journal

Eig-PIELM: an efficient mesh-free method for eigenvalue problems using physics-informed extreme learning machines

Rishi Mishra , Ganapathy Krishnamurthi , Balaji Srinivasan , Sundararajan Natarajan

Computer Methods in Applied Mechanics and Engineering , Vol. 451 , pp. 118674 • 2026

2025

7
Conference

Deciphering solar wind source regions using interpretable deep learning

Vishal Upendran , Mark Cheung , Shravan Hanasoge , Ganapathy Krishnamurthi

SDO 2025 Science Workshop: A Gathering of the Helio-hive! , pp. 67 • 2025

Preprint

Efficient knowledge distillation of sam for medical image segmentation

Kunal Dasharath Patil , Gowthamaan Palani , Ganapathy Krishnamurthi

arXiv preprint arXiv:2501.16740 • 2025

Preprint

Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines

Rishi Mishra , Ganapathy Krishnamurthi , Balaji Srinivasan , Sundararajan Natarajan

arXiv preprint arXiv:2508.15343 • 2025

Journal

MedPAO: A Protocol-Driven Agent for Structuring Medical Reports

Shrish Shrinath Vaidya , Gowthamaan Palani , Sidharth Ramesh , Velmurugan Balasubramanian , Minmini Selvam , Gokulraja Srinivasaraja , Ganapathy Krishnamurthi

Agentic AI, MICCAI 2025 , pp. 33-45 • 2025

Journal

Multifunctional combustion-synthesized nano-ceria: insights into ex-vivo goat cartilage tissue internalization and bioimaging

Hema Brindha Masanam , Ashwin Kumar Narasimhan , Ganapathy Krishnamurthi , Sruthi Ann Alex

Nano Express , Vol. 6 , pp. 025003 • 2025

Journal

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Maximilian Zenk , Ujjwal Baid , Sarthak Pati , Akis Linardos , Brandon Edwards , Micah Sheller , Patrick Foley , Alejandro Aristizabal , David Zimmerer , Alexey Gruzdev , Jason Martin , Russell T Shinohara , Annika Reinke , Fabian Isensee , Santhosh Parampottupadam , Kaushal Parekh , Ralf Floca , Hasan Kassem , Bhakti Baheti , Siddhesh Thakur , Verena Chung , Kaisar Kushibar , Karim Lekadir , Meirui Jiang , Youtan Yin , Hongzheng Yang , Quande Liu , Cheng Chen , Qi Dou , Pheng-Ann Heng , Xiaofan Zhang , Shaoting Zhang , Muhammad Irfan Khan , Mohammad Ayyaz Azeem , Mojtaba Jafaritadi , Esa Alhoniemi , Elina Kontio , Suleiman A Khan , Leon Mächler , Ivan Ezhov , Florian Kofler , Suprosanna Shit , Johannes C Paetzold , Timo Loehr , Benedikt Wiestler , Himashi Peiris , Kamlesh Pawar , Shenjun Zhong , Zhaolin Chen , Munawar Hayat , Gary Egan , Mehrtash Harandi , Ece Isik Polat , Gorkem Polat , Altan Kocyigit , Alptekin Temizel , Anup Tuladhar , Lakshay Tyagi , Raissa Souza , Nils D Forkert , Pauline Mouches , Matthias Wilms , Vishruth Shambhat , Akansh Maurya , Shubham Subhas Danannavar , Rohit Kalla , Vikas Kumar Anand , Ganapathy Krishnamurthi , Sahil Nalawade , Chandan Ganesh , Ben Wagner , Divya Reddy , Yudhajit Das , Fang F Yu , Baowei Fei , Ananth J Madhuranthakam , Joseph Maldjian , Gaurav Singh , Jianxun Ren , Wei Zhang , Ning An , Qingyu Hu , Youjia Zhang , Ying Zhou , Vasilis Siomos , Giacomo Tarroni , Jonathan Passerrat-Palmbach , Ambrish Rawat , Giulio Zizzo , Swanand Ravindra Kadhe , Jonathan P Epperlein , Stefano Braghin , Yuan Wang , Renuga Kanagavelu , Qingsong Wei , Yechao Yang , Yong Liu , Krzysztof Kotowski , Szymon Adamski , Bartosz Machura , Wojciech Malara , Lukasz Zarudzki , Jakub Nalepa , Yaying Shi , Hongjian Gao , Salman Avestimehr , Yonghong Yan , Agus S Akbar , Ekaterina Kondrateva , Hua Yang , Zhaopei Li , Hung-Yu Wu , Johannes Roth , Camillo Saueressig , Alexandre Milesi , Quoc D Nguyen , Nathan J Gruenhagen , Tsung-Ming Huang , Jun Ma , Har Shwinder H Singh , Nai-Yu Pan , Dingwen Zhang , Ramy A Zeineldin , Michal Futrega , Yading Yuan , Gian Marco Conte , Xue Feng , Quan D Pham , Yong Xia , Zhifan Jiang , Huan Minh Luu , Mariia Dobko , Alexandre Carré , Bair Tuchinov , Hassan Mohy-ud-Din , Saruar Alam , Anup Singh , Nameeta Shah , Weichung Wang , Chiharu Sako , Michel Bilello , Satyam Ghodasara , Suyash Mohan , Christos Davatzikos , Evan Calabrese , Jeffrey Rudie , Javier Villanueva-Meyer , Soonmee Cha , Christopher Hess , John Mongan

Nature communications , Vol. 16 , pp. 6274 • 2025

Journal

Unsupervised Deep Learning Algorithm for Artifact Reduction in X-Ray CT Reconstruction From Truncated Data

Rohit Kalla , Balaji Srinivasan , Ganapathy Krishnamurthi

IEEE Access • 2025

2024

4
Journal

Operational predictive scoring of components and services of an information technology system

Jithesh Kaveetil , Ashwin Kumar Ramachandran , Balaji Srinivasan , Ganapathy Krishnamurthi

Unknown Venue • 2024

Journal

Physics informed contour selection for rapid image segmentation

Vikas Dwivedi , Balaji Srinivasan , Ganapathy Krishnamurthi

Scientific Reports , Vol. 14 , pp. 6996 • 2024

Journal

Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts

Minmini Selvam , Anupama Chandrasekharan , Abjasree Sadanandan , Vikas K Anand , Sidharth Ramesh , Arunan Murali , Ganapathy Krishnamurthi

Scientific Reports , Vol. 14 , pp. 7079 • 2024

Journal

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT

Minmini Selvam , Abjasree Sadanandan , Anupama Chandrasekharan , Sidharth Ramesh , Arunan Murali , Ganapathy Krishnamurthi

Scientific Reports , Vol. 14 , pp. 32088 • 2024

2023

4
Conference

Parse challenge 2022: pulmonary arteries segmentation using swin u-net transformer (swin unetr) and u-net

Rohan Padhy , Akansh Maurya , Kunal Dasharath Patil , Kalluri Ramakrishna , Ganapathy Krishnamurthi

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) , pp. 1-4 • 2023

Journal

Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules

Minmini Selvam , Anupama Chandrasekharan , Abjasree Sadanandan , Vikas Kumar Anand , Arunan Murali , Ganapathy Krishnamurthi

Scientific Reports , Vol. 13 , pp. 19062 • 2023

Journal

Single Molecule Imaging Using State-of-the-Art Microscopy Techniques

Arun Bhupathi , M Hema Brindha , Ganapathy Krishnamurthi , N Ashwin Kumar

Unknown Venue , pp. 305-333 • 2023

Journal

The liver tumor segmentation benchmark (lits)

Patrick Bilic , Patrick Christ , Hongwei Bran Li , Eugene Vorontsov , Avi Ben-Cohen , Georgios Kaissis , Adi Szeskin , Colin Jacobs , Gabriel Efrain Humpire Mamani , Gabriel Chartrand , Fabian Lohöfer , Julian Walter Holch , Wieland 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 , Míriam Bellver , Lei Bi , Hao Chen , Grzegorz Chlebus , Erik B Dam , Qi Dou , Chi-Wing Fu , Bogdan Georgescu , Xavier Giró-i-Nieto , Felix Gruen , 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 Konopczynski , Avinash Kori , Ganapathy Krishnamurthi , Fan Li , Hongchao Li , Junbo Li , Xiaomeng Li , John Lowengrub , Jun Ma , Klaus 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 , Jorge Cardoso , Spyridon Bakas , Rickmer Braren , Volker Heinemann , Christopher Pal , An Tang , Samuel Kadoury , Luc Soler , Bram van Ginneken , Hayit Greenspan , Leo Joskowicz , Bjoern Menze

Medical image analysis , Vol. 84 , pp. 102680 • 2023

2022

5
Journal

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system

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 , 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

Medical image analysis , Vol. 80 , pp. 102485 • 2022

Journal

Impact of gold-decorated tantalum oxide (TaOx-Au) nano-probes for low energy cancer diagnostic agent

B Swathi Lakshmi , M Hema Brindha , N Ashwin Kumar , Ganapathy Krishnamurthi

Materials Letters , Vol. 308 , pp. 131234 • 2022

Preprint

Parse challenge 2022: Pulmonary arteries segmentation using swin u-net transformer (swin unetr) and u-net

Akansh Maurya , Kunal Dashrath Patil , Rohan Padhy , Kalluri Ramakrishna , Ganapathy Krishnamurthi

arXiv preprint arXiv:2208.09636 • 2022

Journal

Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning

Rajat Vajpayee , Vismay Agrawal , Ganapathy Krishnamurthi

Scientific Reports , Vol. 12 , pp. 14855 • 2022

Journal

X-ray scintillator lens-coupled with CMOS camera for pre-clinical cardiac vascular imaging—A feasibility study

Swathi Lakshmi Balasubramanian , Ganapathy Krishnamurthi

Plos one , Vol. 17 , pp. e0262913 • 2022

2021

7
Journal

A generalized deep learning framework for whole-slide image segmentation and analysis

Mahendra Khened , Avinash Kori , Haran Rajkumar , Ganapathy Krishnamurthi , Balaji Srinivasan

Scientific reports , Vol. 11 , pp. 11579 • 2021

Journal

Corrigendum: demystifying brain tumor segmentation networks: interpretability and uncertainty analysis

Parth Natekar , Avinash Kori , Ganapathy Krishnamurthi

Frontiers in Computational Neuroscience , Vol. 15 , pp. 651959 • 2021

Journal

A Study on Criteria for Training Collaborator Selection in Federated Learning

Vishruth Shambhat , Akansh Maurya , Shubham Subhas Danannavar , Rohit Kalla , Vikas Kumar Anand , Ganapathy Krishnamurthi

Unknown Venue , pp. 470-480 • 2021

Journal

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis (vol 14, 6, 2020)

Parth Natekar , Avinash Kori , Ganapathy Krishnamurthi

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE , Vol. 15 , pp. 0-0 • 2021

Journal

Influence of europium (Eu) doped tantalum oxide nanoparticles (TaOx NPs): A potential contrast agent

Ashwin Kumar Narasimhan , Swathi Lakshmi Balasubramanian , Ganapathy Krishnamurthi

Materials Letters , Vol. 300 , pp. 130214 • 2021

Journal

Interpreting deep neural networks for medical imaging using concept graphs

Avinash Kori , Parth Natekar , Balaji Srinivasan , Ganapathy Krishnamurthi

Unknown Venue , pp. 201-216 • 2021

Journal

PAIP 2019: Liver cancer segmentation challenge

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 , Jin Tae Kwak , Jianqiang Ma , Zhe Tang , Bahram Marami , Jack Zeineh , Zixu Zhao , Pheng-Ann Heng , Rüdiger Schmitz , Frederic Madesta , Thomas Rösch , Rene Werner , Jie Tian , Elodie Puybareau , Matteo Bovio , Xiufeng Zhang , Yifeng Zhu , Se Young Chun , Won-Ki Jeong , Peom Park , Jinwook Choi

Medical image analysis , Vol. 67 , pp. 101854 • 2021

2020

9
Preprint

2018 robotic scene segmentation challenge

Max Allan , Satoshi Kondo , Sebastian Bodenstedt , Stefan Leger , Rahim Kadkhodamohammadi , Imanol Luengo , Felix Fuentes , Evangello Flouty , Ahmed Mohammed , Marius Pedersen , Avinash Kori , Varghese Alex , 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 , Myeonghyeon Kim , Chanho Kim , Chaewon Kim , Hyejin Kim , Gyeongmin Lee , Ihsan Ullah , Miguel Luna , Sang Hyun Park , Mahdi Azizian , Danail Stoyanov , Lena Maier-Hein , Stefanie Speidel

arXiv preprint arXiv:2001.11190 • 2020

Preprint

Abstracting deep neural networks into concept graphs for concept level interpretability

Avinash Kori , Parth Natekar , Ganapathy Krishnamurthi , Balaji Srinivasan

arXiv preprint arXiv:2008.06457 • 2020

Journal

Brain tumor segmentation and survival prediction using automatic hard mining in 3D CNN architecture

Vikas Kumar Anand , Sanjeev Grampurohit , Pranav Aurangabadkar , Avinash Kori , Mahendra Khened , Raghavendra S Bhat , Ganapathy Krishnamurthi

Unknown Venue , pp. 310-319 • 2020

Journal

Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis

Parth Natekar , Avinash Kori , Ganapathy Krishnamurthi

Frontiers in computational neuroscience , Vol. 14 , pp. 6 • 2020

Preprint

Distangling Biological Noise in Cellular Images with a focus on Explainability

Manik Sharma , Ganapathy Krishnamurthi

arXiv preprint arXiv:2007.05743 • 2020

Journal

Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches

Tahsin Kurc , Spyridon Bakas , Xuhua Ren , Aditya Bagari , Alexandre Momeni , Yue Huang , Lichi Zhang , Ashish Kumar , Marc Thibault , Qi Qi , Qian Wang , Avinash Kori , Olivier Gevaert , Yunlong Zhang , Dinggang Shen , Mahendra Khened , Xinghao Ding , Ganapathy Krishnamurthi , Jayashree Kalpathy-Cramer , James Davis , Tianhao Zhao , Rajarsi Gupta , Joel Saltz , Keyvan Farahani

Frontiers in neuroscience , Vol. 14 , pp. 27 • 2020

Journal

Solar wind prediction using deep learning

Vishal Upendran , Mark CM Cheung , Shravan Hanasoge , Ganapathy Krishnamurthi

Space Weather , Vol. 18 , pp. e2020SW002478 • 2020

Preprint

Structurally aware bidirectional unpaired image to image translation between CT and MR

Vismay Agrawal , Avinash Kori , Vikas Kumar Anand , Ganapathy Krishnamurthi

arXiv preprint arXiv:2006.03374 • 2020

Conference

GAN-based end-to-end unsupervised image registration for RGB-infrared image

Kanti Kumari , Ganapathy Krishnamurthi

2020 3rd International Conference on Intelligent Autonomous Systems (ICoIAS) , pp. 62-66 • 2020

2019

8
Journal

Case based image retrieval and clinical analysis of tumor and cyst

Swarnambiga Ayyachamy , Ganapathy Krishnamurthi

Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications , Vol. 10954 , pp. 227-232 • 2019

Conference

Convolutional neural network for kidney and kidney tumor segmentation

Vikas Kumar Anand , Pranav Aurangabadkar , Mahendra Khened , Ganapathy Krishnamurthi

Proceedings of 2019 Kidney Tumor Segmentation Challenge: KiTS19 , pp. 1-7 • 2019

Conference

Deep-learning based identification of frames containing foetal gender region during early second trimester ultrasound scanning

Praveen Paul Lakra , Ashish Kumar , Narayanaswamy Mohanram , Ganapathy Krishnamurthi , Arun Kumar Thittai

2019 IEEE International Ultrasonics Symposium (IUS) , pp. 471-474 • 2019

Journal

Medical image retrieval using Resnet-18

Swarnambiga Ayyachamy , Varghese Alex , Mahendra Khened , Ganapathy Krishnamurthi

Medical imaging 2019: imaging informatics for healthcare, research, and applications , Vol. 10954 , pp. 233-241 • 2019

Journal

Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers

Mahendra Khened , Varghese Alex Kollerathu , Ganapathy Krishnamurthi

Medical image analysis , Vol. 51 , pp. 21-45 • 2019

Journal

3D convolution neural networks for molecular subtype prediction in glioblastoma multiforme

Mahendra Khened , Vikas Kumar Anand , Gagan Acharya , Nameeta Shah , Ganapathy Krishnamurthi

Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications , Vol. 10954 , pp. 256-262 • 2019

Conference

Recurrent attention mechanism networks for enhanced classification of biomedical images

Mazhar Shaikh , Varghese Alex Kollerathu , Ganapathy Krishnamurthi

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) , pp. 1260-1264 • 2019

Preprint

Zero shot learning for multi-modal real time image registration

Avinash Kori , Ganapathi Krishnamurthi

arXiv preprint arXiv:1908.06213 • 2019

2018

12
Preprint

2D-densely connected convolution neural networks for automatic liver and tumor segmentation

Krishna Chaitanya Kaluva , Mahendra Khened , Avinash Kori , Ganapathy Krishnamurthi

arXiv preprint arXiv:1802.02182 • 2018

Journal

A combined radio-histological approach for classification of low grade gliomas

Aditya Bagari , Ashish Kumar , Avinash Kori , Mahendra Khened , Ganapathy Krishnamurthi

Unknown Venue , pp. 416-427 • 2018

Journal

CardioNet: identification of fetal cardiac standard planes from 2D Ultrasound data

Krishna Chaitanya Kaluva , C Shanthi , Arun Kumar Thittai , Ganapathy Krishnamurthi

North Northlake Way, Seattle, WA, USA, Semant. Scholar • 2018

Journal

Classification of breast cancer and grading of diabetic retinopathy & macular edema using ensemble of pre-trained convolutional neural networks

Mohammed Safwan , Sai Saketh Chennamsetty , Avinash Kori , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue • 2018

Journal

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?

Olivier Bernard , Alain Lalande , Clement Zotti , Frederick Cervenansky , Xin Yang , Pheng-Ann Heng , Irem Cetin , Karim Lekadir , Oscar Camara , Miguel Angel Gonzalez Ballester , Gerard Sanroma , Sandy Napel , Steffen Petersen , Georgios Tziritas , Elias Grinias , Mahendra Khened , Varghese Alex Kollerathu , 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 Išgum , Yeonggul Jang , Yoonmi Hong , Jay Patravali , Shubham Jain , Olivier Humbert , Pierre-Marc Jodoin

IEEE transactions on medical imaging , Vol. 37 , pp. 2514-2525 • 2018

Preprint

Enhanced image classification with data augmentation using position coordinates

Avinash Kori , Ganapathy Krishnamurthi , Balaji Srinivasan

arXiv preprint arXiv:1802.02183 • 2018

Journal

Ensemble of fully convolutional neural network for brain tumor segmentation from magnetic resonance images

Avinash Kori , Mehul Soni , B Pranjal , Mahendra Khened , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue , pp. 485-496 • 2018

Preprint

Enhanced optic disk and cup segmentation with glaucoma screening from fundus images using position encoded CNNs

Vismay Agrawal , Avinash Kori , Varghese Alex , Ganapathy Krishnamurthi

arXiv preprint arXiv:1809.05216 • 2018

Preprint

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

Spyridon Bakas , Mauricio Reyes , Andras Jakab , Stefan Bauer , Markus Rempfler , Alessandro Crimi , Russell Takeshi Shinohara , Christoph Berger , Sung Min Ha , Martin Rozycki , Marcel Prastawa , Esther Alberts , Jana Lipkova , John Freymann , Justin Kirby , Michel Bilello , Hassan Fathallah-Shaykh , Roland Wiest , Jan Kirschke , Benedikt Wiestler , Rivka Colen , Aikaterini Kotrotsou , Pamela Lamontagne , Daniel Marcus , Mikhail Milchenko , Arash Nazeri , Marc-Andre Weber , Abhishek Mahajan , Ujjwal Baid , Elizabeth Gerstner , Dongjin Kwon , Gagan Acharya , Manu Agarwal , Mahbubul Alam , Alberto Albiol , Antonio Albiol , Francisco J Albiol , Varghese Alex , Nigel Allinson , Pedro HA Amorim , Abhijit Amrutkar , Ganesh Anand , Simon Andermatt , Tal Arbel , Pablo Arbelaez , Aaron Avery , Muneeza Azmat , W Bai , Subhashis Banerjee , Bill Barth , Thomas Batchelder , Kayhan Batmanghelich , Enzo Battistella , Andrew Beers , Mikhail Belyaev , Martin Bendszus , Eze Benson , Jose Bernal , Halandur Nagaraja Bharath , George Biros , Sotirios Bisdas , James Brown , Mariano Cabezas , Shilei Cao , Jorge M Cardoso , Eric N Carver , Adrià Casamitjana , Laura Silvana Castillo , Marcel Catà , Philippe Cattin , Albert Cerigues , Vinicius S Chagas , Siddhartha Chandra , Yi-Ju Chang , Shiyu Chang , Ken Chang , Joseph Chazalon , Shengcong Chen , Wei Chen , Jefferson W Chen , Zhaolin Chen , Kun Cheng , Ahana Roy Choudhury , Roger Chylla , Albert Clérigues , Steven Colleman , Ramiro German Rodriguez Colmeiro , Marc Combalia , Anthony Costa , Xiaomeng Cui , Zhenzhen Dai , Lutao Dai , Laura Alexandra Daza , Eric Deutsch , Changxing Ding , Chao Dong , Shidu Dong , Wojciech Dudzik , Zach Eaton-Rosen , Gary Egan , Guilherme Escudero , Théo Estienne , Richard Everson , Jonathan Fabrizio , Yong Fan , Longwei Fang , Xue Feng , Enzo Ferrante , Lucas Fidon , Martin Fischer , Andrew P French , Naomi Fridman , Huan Fu , David Fuentes , Yaozong Gao , Evan Gates , David Gering , Amir Gholami , Willi Gierke , Ben Glocker , Mingming Gong , Sandra González-Villá , T Grosges , Yuanfang Guan , Sheng Guo , Sudeep Gupta , Woo-Sup Han , Il Song Han , Konstantin Harmuth , Huiguang He , Aura Hernández-Sabaté , Evelyn Herrmann , Naveen Himthani , Winston Hsu , Cheyu Hsu , Xiaojun Hu , Xiaobin Hu , Yan Hu , Yifan Hu , Rui Hua , Teng-Yi Huang , Weilin Huang , Sabine Van Huffel , Quan Huo , Vivek HV , Khan M Iftekharuddin , Fabian Isensee , Mobarakol Islam , Aaron S Jackson , Sachin R Jambawalikar

arXiv preprint arXiv:1811.02629 • 2018

Journal

Fully automatic segmentation for ischemic stroke using CT perfusion maps

Vikas Kumar Anand , Mahendra Khened , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue , pp. 328-334 • 2018

Journal

Semi-automatic identification of myelomatous lesions from multi-modal MR images

VK Anand , GANAPATHY Krishnamurthi , Ravikant Balaji

Unknown Venue • 2018

Preprint

Robotic scene segmentation challenge

Max Allan , Satoshi Kondo , Sebastian Bodenstedt , Stefan Leger , Rahim Kadkhodamohammadi , Imanol Luengo , Felix Fuentes , Evangello Flouty , Ahmed Mohammed , Marius Pedersen , Avinash Kori , Varghese Alex , 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 , Myeonghyeon Kim , Chanho Kim , Chaewon Kim , Hyejin Kim , Gyeongmin Lee , Ihsan Ullah , Miguel Luna , Sang Hyun Park , Mahdi Azizian , Danail Stoyanov , Lena Maier-Hein , Stefanie Speidel

arXiv preprint arXiv:2001.11190 • 2018

2017

10
Journal

Automatic segmentation and overall survival prediction in gliomas using fully convolutional neural network and texture analysis

Varghese Alex , Mohammed Safwan , Ganapathy Krishnamurthi

Unknown Venue , pp. 216-225 • 2017

Conference

Brain tumor segmentation from multi modal MR images using fully convolutional neural network

Varghese Alex , Mohammed Safwan , Ganapathy Krishnamurthi

Medical Image Computing and Computer Assisted Intervention-MICCAI , pp. 1-8 • 2017

Journal

Brain tumor segmentation using dense fully convolutional neural network

Mazhar Shaikh , Ganesh Anand , Gagan Acharya , Abhijit Amrutkar , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue , pp. 309-319 • 2017

Journal

Densely connected fully convolutional network for short-axis cardiac cine MR image segmentation and heart diagnosis using random forest

Mahendra Khened , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue , pp. 140-151 • 2017

Journal

Estimation of myocardial deformation using correlation image velocimetry

Athira Jacob , Ganapathy Krishnamurthi , Manikandan Mathur

BMC medical imaging , Vol. 17 , pp. 25 • 2017

Conference

Generative adversarial networks for brain lesion detection

Varghese Alex , Mohammed Safwan KP , Sai Saketh Chennamsetty , Ganapathy Krishnamurthi

Medical Imaging 2017: Image Processing , Vol. 10133 , pp. 113-121 • 2017

Journal

Fast frame rate rodent cardiac x-ray imaging using scintillator lens coupled to CMOS camera

MKN Sai Varsha , Ashwin Kumar , Madhulika Dixit , Ganapathy Krishnamurthi

Medical Imaging 2017: Physics of Medical Imaging , Vol. 10132 , pp. 661-668 • 2017

Journal

Longitudinal multiple sclerosis lesion segmentation: resource and challenge

Aaron Carass , Snehashis Roy , Amod Jog , Jennifer L Cuzzocreo , Elizabeth Magrath , Adrian Gherman , Julia Button , James Nguyen , Ferran Prados , Carole H Sudre , Manuel Jorge Cardoso , Niamh Cawley , Olga Ciccarelli , Claudia AM Wheeler-Kingshott , Sébastien Ourselin , Laurence Catanese , Hrishikesh Deshpande , Pierre Maurel , Olivier Commowick , Christian Barillot , Xavier Tomas-Fernandez , Simon K Warfield , Suthirth Vaidya , Abhijith Chunduru , Ramanathan Muthuganapathy , Ganapathy Krishnamurthi , Andrew Jesson , Tal Arbel , Oskar Maier , Heinz Handels , Leonardo O Iheme , Devrim Unay , Saurabh Jain , Diana M Sima , Dirk Smeets , Mohsen Ghafoorian , Bram Platel , Ariel Birenbaum , Hayit Greenspan , Pierre-Louis Bazin , Peter A Calabresi , Ciprian M Crainiceanu , Lotta M Ellingsen , Daniel S Reich , Jerry L Prince , Dzung L Pham

NeuroImage , Vol. 148 , pp. 77-102 • 2017

Journal

Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation

Varghese Alex , Kiran Vaidhya , Subramaniam Thirunavukkarasu , Chandrasekharan Kesavadas , Ganapathy Krishnamurthi

Journal of Medical Imaging , Vol. 4 , pp. 041311-041311 • 2017

Journal

Oxygenated graphene quantum dots (GQDs) synthesized using laser ablation for long-term real-time tracking and imaging

Ashwin Kumar Narasimhan , Tuhin Subhra Santra , MS Ramachandra Rao , Ganapathy Krishnamurthi

RSC Advances , Vol. 7 , pp. 53822-53829 • 2017

2016

2
Journal

Segmentation and tracking of myocardial boundaries using dynamic programming

Athira J Jacob , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue , pp. 118-126 • 2016

Journal

Asteroseismic determination of fundamental parameters of Sun-like stars using multilayered neural networks

Kuldeep Verma , Shravan Hanasoge , Jishnu Bhattacharya , HM Antia , Ganapathy Krishnamurthi

Monthly Notices of the Royal Astronomical Society , Vol. 461 , pp. 4206-4214 • 2016

2015

2
Conference

Longitudinal multiple sclerosis lesion segmentation using 3D convolutional neural networks

Suthirth Vaidya , Abhijith Chunduru , Ramanathan Muthuganapathy , Ganapathy Krishnamurthi

Proceedings of the 2015 longitudinal multiple sclerosis lesion segmentation challenge , pp. 1-2 • 2015

Journal

Multi-modal brain tumor segmentation using stacked denoising autoencoders

Kiran Vaidhya , Subramaniam Thirunavukkarasu , Varghese Alex , Ganapathy Krishnamurthi

Unknown Venue , pp. 181-194 • 2015

2014

1
Journal

Supervised segmentation of polycystic kidneys: a new application for stereology data

Joshua D Warner , Maria V Irazabal , Ganapathy Krishnamurthi , Bernard F King , Vicente E Torres , Bradley J Erickson

Journal of digital imaging , Vol. 27 , pp. 514-519 • 2014

2013

3
Journal

Evaluation of strategies to reduce radiation dose in perfusion CT imaging using a reproducible biologic phantom

Juan C Ramirez-Giraldo , Scott M Thompson , Ganapathy Krishnamurthi , Bruce E Knudsen , David A Woodrum , Matthew R Callstrom , Cynthia H McCollough

American Journal of Roentgenology , Vol. 200 , pp. W621-W627 • 2013

Journal

Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images

Gyan Pareek , U Rajendra Acharya , S Vinitha Sree , G Swapna , Ratna Yantri , Roshan Joy Martis , Luca Saba , Ganapathy Krishnamurthi , Giorgio Mallarini , Ayman El-Baz , Shadi Al Ekish , Michael Beland , Jasjit S Suri

Technology in cancer research & treatment , Vol. 12 , pp. 545-557 • 2013

Journal

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

U Rajendra Acharya , Oliver Faust , APC Alvin , Ganapathy Krishnamurthi , José CR Seabra , João Sanches , Jasjit S Suri

Computer methods and programs in biomedicine , Vol. 110 , pp. 66-75 • 2013

2012

3
Journal

Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm

U Rajendra Acharya , S Vinitha Sree , Ricardo Ribeiro , Ganapathy Krishnamurthi , Rui Tato Marinho , João Sanches , Jasjit S Suri

Medical physics , Vol. 39 , pp. 4255-4264 • 2012

Journal

Hypothesis validation of far-wall brightness in carotid-artery ultrasound for feature-based IMT measurement using a combination of level-set segmentation and registration

Filippo Molinari , Ganapathy Krishnamurthi , U Rajendra Acharya , S Vinitha Sree , Guang Zeng , Luca Saba , Andrew Nicolaides , Jasjit S Suri

IEEE Transactions on Instrumentation and measurement , Vol. 61 , pp. 1054-1063 • 2012

Journal

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

Ganapathy Krishnamurthi , José CR Seabra , João Sanches , Jasjit S Suri

Unknown Venue • 2012

2011

2
Conference

Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture

U Rajendra Acharya , Oliver Faust , S Vinitha Sree , Ang Peng Chuan Alvin , Ganapathy Krishnamurthi , João Sanches , Jasjit S Suri

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society , pp. 4489-4492 • 2011

Conference

Cryo-imaging of 70+ GB mice: Image processing/visualization challenges and biotechnology applications

David L Wilson , Madhusudhana Gargesha , Debashish Roy , Mohammed Q Qutaish , Ganapathi Krishnamurthi , Kristin Sullivant , Patiwet Wuttisarnwattana , Hong Lu , Benjamin Moore , Christian Anderson

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro , pp. 224-229 • 2011

2010

1
Journal

Removal of subsurface fluorescence in cryo-imaging using deconvolution

Ganapathy Krishnamurthi , Charlie Y Wang , Grant Steyer , David L Wilson

Optics Express , Vol. 18 , pp. 22324-22338 • 2010

2008

4
Conference

Automated analysis of label-free spinning-disc microarray images [6812-16]

G Krishnamurthi , T Norwood , M Varma

PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING , Vol. 6812 , pp. 6812 • 2008

Conference

Automated analysis of label-free spinning-disc microarray images

Ganapathy Krishnamurthi , Tim Norwood , Manoj Varma

Image Processing: Algorithms and Systems VI , Vol. 6812 , pp. 158-167 • 2008

Journal

Dynamic contrast enhanced computed tomography of kidney physiology in small animals

Ganapathy Krishnamurthi

Unknown Venue • 2008

Journal

Process for extracting periodic features from images by template matching

Manoj Varma , Ganapathy Krishnamurthi

Unknown Venue • 2008

2006

1
Journal

Use of micro‐CAT scans to understand cowpea seed resistance to Callosobruchus maculatus

MR Tarver , RE Shade , RD Tarver , Y Liang , G Krishnamurthi , BR Pittendrigh , LL Murdock

Entomologia Experimentalis et Applicata , Vol. 118 , pp. 33-39 • 2006

2005

3
Journal

Assessment of multislice CT to quantify pulmonary emphysema function and physiology in a rat model

Minsong Cao , Keith M Stantz , Yun Liang , Ganapathy Krishnamurthi , Robert G Presson Jr

Medical Imaging 2005: Physiology, Function, and Structure from Medical Images , Vol. 5746 , pp. 498-506 • 2005

Journal

Evaluating murine polycystic kidney disease using functional X-ray computed tomography

G Krishnamurthi , KM Stantz , VH Gattone , MS Cao , Y Liang

FASEB JOURNAL , Vol. 19 , pp. A244-A244 • 2005

Journal

Functional imaging in small animals using X-ray computed tomography-study of physiologic measurement reproducibility

Ganapathy Krishnamurthi , Keith M Stantz , Rosemary Steinmetz , Vincent H Gattone , Minsong Cao , Gary D Hutchins , Yun Liang

IEEE transactions on medical imaging , Vol. 24 , pp. 832-843 • 2005

2004

1
Journal

Reproducibility of physiologic parameters obtained using functional computed tomography in mice

Ganapathy Krishnamurthi , Keith M Stantz , Rosemary Steinmetz , Gary D Hutchins , Yun Liang

Medical Imaging 2004: Physiology, Function, and Structure from Medical Images , Vol. 5369 , pp. 394-405 • 2004

2003

1
Journal

Development of contrast-enhanced rodent imaging using functional CT

Yun Liang , Keith M Stantz , Ganapathy Krishnamurthi , Rosemary Steinmetz , Gary D Hutchins

Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications , Vol. 5031 , pp. 140-148 • 2003

2002

4
Journal

Initial imaging experience with IndyPET II.

GD Hutchins , N Rouze , KL Stone , G Krishnamurthi , Y Liang

JOURNAL OF NUCLEAR MEDICINE , Vol. 43 , pp. 59P-59P • 2002

Journal

IMECE2002-33053 Investigation of Contrast-Enhanced In-Vivo Animal Imaging With Micro-CT

Y Liang , KM Stantz , G Krishnamurthi , L Chen , GD Hutchins

ASME-PUBLICATIONS-BED , Vol. 54 , pp. 139-144 • 2002

Journal

Investigation of Contrast-Enhanced In-Vivo Animal Imaging With Micro-CT

Yun Liang , Keith M Stantz , Ganapathy Krishnamurthi , Laigao Chen , Gary D Hutchins

ASME International Mechanical Engineering Congress and Exposition , Vol. 36509 , pp. 139-143 • 2002

Conference

Reproducibility of the coronary calcium measurement with different cardiac algorithms using multislice spiral CT

Yun Liang , Ganapathy Krishnamurthi , Laigao Michael Chen , Cristopher A Meyer

Medical Imaging 2002: Image Processing , Vol. 4684 , pp. 643-651 • 2002