default search action
Ganapathy Krishnamurthi
Ganapathi Krishnamurthi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j12]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov
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
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
PAIP 2019: Liver cancer segmentation challenge. Medical Image Anal. 67: 101854 (2021) - [c17]Vishruth Shambhat, Akansh Maurya
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
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
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
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
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
A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. BrainLes@MICCAI (1) 2018: 416-427 - [c11]Avinash Kori
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
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
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. 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
Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data. J. Digit. Imaging 27(4): 514-519 (2014) - 2013
- [j3]U. Rajendra Acharya
Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization. Comput. Methods Programs Biomed. 110(1): 66-75 (2013) - 2012
- [j2]Filippo Molinari
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
Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture. EMBC 2011: 4489-4492 - [c3]David L. Wilson
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
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. Image Processing 2002
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-05 20:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: