Ganapathy Krishnamurthi
Orcid: 0000-0002-9262-7569
According to our database1,
Ganapathy Krishnamurthi
authored at least 43 papers
between 2002 and 2023.
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Bibliography
2023
CoRR, 2023
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net.
CoRR, 2022
2021
Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.
Frontiers Comput. Neurosci., 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.
Frontiers Comput. Neurosci., 2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability.
CoRR, 2020
CoRR, 2020
Structurally aware bidirectional unpaired image to image translation between CT and MR.
CoRR, 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis.
CoRR, 2020
Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers.
Medical Image Anal., 2019
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis.
CoRR, 2019
Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs.
CoRR, 2018
CoRR, 2018
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation.
CoRR, 2018
Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
2017
BMC Medical Imaging, 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
2016
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation.
CoRR, 2016
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
2015
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
2014
Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data.
J. Digit. Imaging, 2014
2013
Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization.
Comput. Methods Programs Biomed., 2013
2012
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., 2012
2011
Cryo-imaging of 70+GB mice: Image processing/visualization challenges and biotechnology applications.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2008
Proceedings of the Image Processing: Algorithms and Systems VI, 2008
2005
Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility.
IEEE Trans. Medical Imaging, 2005
2002
Reproducibility of the coronary calcium measurement with different cardiac algorithms using multislice spiral CT.
Proceedings of the Medical Imaging 2002: Image Processing, 2002