Ganapathy Krishnamurthi

发表

Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data

Bradley J. Erickson, Joshua D. Warner, Maria V. Irazabal, 2014, Journal of Digital Imaging.

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Xin Yang, Pheng-Ann Heng, Peter M. Full, 2018, IEEE Transactions on Medical Imaging.

Enhanced Image Classification With Data Augmentation Using Position Coordinates pdf

Ganapathy Krishnamurthi, Balaji Srinivasan, Avinash Kori, 2018, ArXiv.

2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation pdf

Ganapathy Krishnamurthi, Mahendra Khened, Avinash Kori, 2018, ArXiv.

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Qi Qi, Qian Wang, Spyridon Bakas, 2020, Frontiers in Neuroscience.

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

Ganapathy Krishnamurthi, Balaji Srinivasan, Mahendra Khened, 2020, Scientific Reports.

Generative adversarial networks for brain lesion detection

Ganapathy Krishnamurthi, Alex Varghese, Sai Saketh Chennamsetty, 2017, Medical Imaging.

Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation

Ganapathy Krishnamurthi, Varghese Alex, Kiran Vaidhya, 2016 .

Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network

Mazhar Shaikh, Ganapathy Krishnamurthi, Alex Varghese, 2017, BrainLes@MICCAI.

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, 2013, Comput. Methods Programs Biomed..

2018 Robotic Scene Segmentation Challenge pdf

Chi-Sheng Shih, Cong Gao, Mathias Unberath, 2020, ArXiv.

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

Ganapathy Krishnamurthi, Vikas Kumar Anand, Ravikant Balaji, 2018 .

Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability pdf

Ganapathy Krishnamurthi, Balaji Srinivasan, Avinash Kori, 2020, 2008.06457.

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

Minsong Cao, Yun Liang, Ganapathy Krishnamurthi, 2005, IEEE Transactions on Medical Imaging.

Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images

Ganapathy Krishnamurthi, Mahendra Khened, Alex Varghese, 2018, BrainLes@MICCAI.

Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation

Ganapathy Krishnamurthi, Alex Varghese, Kiran Vaidhya, 2016, Journal of medical imaging.

Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest

Ganapathy Krishnamurthi, Mahendra Khened, Alex Varghese, 2017, STACOM@MICCAI.

NTIRE 2019 Challenge on Image Enhancement: Methods and Results

Fahad Shahbaz Khan, Radu Timofte, Ling Shao, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Estimation of myocardial deformation using correlation image velocimetry

Ganapathy Krishnamurthi, Athira J. Jacob, Manikandan Mathur, 2017, BMC Medical Imaging.

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

U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

PAIP 2019: Liver cancer segmentation challenge

Yanling Liu, Seongkeun Park, Jisoo Kim, 2020, Medical Image Anal..

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

Laigao Michael Chen, Ganapathy Krishnamurthi, Yun Liang, 2002, SPIE Medical Imaging.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis pdf

Ganapathy Krishnamurthi, Avinash Kori, Parth Natekar, 2019, ArXiv.

Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps

Ganapathy Krishnamurthi, Mahendra Khened, Alex Varghese, 2018, BrainLes@MICCAI.

Investigation of Contrast-Enhanced

Keith M. Stantz, Yun Liang, Ganapathy Krishnamurthi, 2002 .

Development of contrast-enhanced rodent imaging using functional CT

Keith M. Stantz, Ganapathy Krishnamurthi, Yun Liang, 2003, SPIE Medical Imaging.

Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming

Ganapathy Krishnamurthi, Alex Varghese, Athira J. Jacob, 2016, STACOM@MICCAI.

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

Keith M. Stantz, Minsong Cao, Ganapathy Krishnamurthi, 2005, SPIE Medical Imaging.

Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture pdf

Ganapathy Krishnamurthi, Mahendra Khened, Avinash Kori, 2021, BrainLes@MICCAI.

Convolutional Neural Network for Kidney and kidney Tumor segmentation

Ganapathy Krishnamurthi, Mahendra Khened, Vikas Kumar Anand, 2019 .

Automated analysis of label-free spinning-disc microarray images

Ganapathy Krishnamurthi, Tim Norwood, Manoj Varma, 2008, Electronic Imaging.

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

Ganapathy Krishnamurthi, Avinash Kori, Vikas Kumar Anand, 2020, ArXiv.

Reproducibility of physiologic parameters obtained using functional computed tomography in mice

Keith M. Stantz, Ganapathy Krishnamurthi, Yun Liang, 2004, SPIE Medical Imaging.

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Ganapathy Krishnamurthi, Avinash Kori, Parth Natekar, 2020, Frontiers in Computational Neuroscience.

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

U Rajendra Acharya, Jasjit S Suri, Ganapathy Krishnamurthi, 2012, Medical physics.

Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders

Ganapathy Krishnamurthi, Alex Varghese, Kiran Vaidhya, 2015, Brainles@MICCAI.

Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs pdf

Ganapathy Krishnamurthi, Alex Varghese, Avinash Kori, 2018, ArXiv.

Case based image retrieval and clinical analysis of tumor and cyst

Ganapathy Krishnamurthi, Swarnambiga Ayyachamy, 2019, Medical Imaging.

Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration

U. Rajendra Acharya, Subbhuraam Vinitha Sree, Jasjit S. Suri, 2012, IEEE Transactions on Instrumentation and Measurement.

Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis

Ganapathy Krishnamurthi, Alex Varghese, P. MohammedSafwanK., 2017, BrainLes@MICCAI.

A Combined Radio-Histological Approach for Classification of Low Grade Gliomas

Ganapathy Krishnamurthi, Ashish Kumar, Mahendra Khened, 2018, BrainLes@MICCAI.

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

Ganapathy Krishnamurthi, Mahendra Khened, Alex Varghese, 2018, Medical Image Anal..

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

Ganapathy Krishnamurthi, Balaji Srinivasan, Mahendra Khened, 2020, Scientific Reports.

Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Ganapathy Krishnamurthi, Avinash Kori, Parth Natekar, 2021, Frontiers in Computational Neuroscience.

LONGITUDINAL MULTIPLE SCLEROSIS LESION SEGMENTATION USING 3 D CONVOLUTIONAL NEURAL NETWORKS

Ramanathan Muthuganapathy, Ganapathy Krishnamurthi, Abhijith Chunduru, 2015 .

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

Cynthia H McCollough, Ganapathy Krishnamurthi, Matthew R Callstrom, 2013, AJR. American journal of roentgenology.

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

Jasjit S Suri, Ganapathy Krishnamurthi, Rui Tato Marinho, 2012, Medical physics.

Prostate Tissue Characterization/Classification in 144 Patient Population Using Wavelet and Higher Order Spectra Features from Transrectal Ultrasound Images

Ayman El-Baz, Roshan Joy Martis, Jasjit S. Suri, 2013, Technology in cancer research & treatment.