Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders. - Kiran Vaidhya; Subramaniam Thirunavukkarasu; Alex Varghese; Ganapathy Krishnamurthi (Brainles@MICCAI, 2015)

Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming. - Athira J. Jacob; Alex Varghese; Ganapathy Krishnamurthi (STACOM@MICCAI, 2016)

Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. - Alex Varghese; Kiran Vaidhya; Subramaniam Thirunavukkarasu; Chandrasekharan Kesavdas; Ganapathy Krishnamurthi (CoRR, 2016)

Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest. - Mahendra Khened; Alex Varghese; Ganapathy Krishnamurthi (STACOM@MICCAI, 2017)

Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network. - Mazhar Shaikh; Ganesh Anand; Gagan Acharya; Abhijit Amrutkar; Alex Varghese; Ganapathy Krishnamurthi (BrainLes@MICCAI, 2017)

Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis. - Alex Varghese; Mohammed Safwan K. P.; Ganapathy Krishnamurthi (BrainLes@MICCAI, 2017)

Generative adversarial networks for brain lesion detection. - Alex Varghese; Mohammed Safwan K. P.; Sai Saketh Chennamsetty; Ganapathy Krishnamurthi (Image Processing, 2017)

Classification of Breast Cancer Histology Image using Ensemble of Pre-trained Neural Networks. - Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese (ICIAR, 2018)

Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps. - Vikas Kumar Anand; Mahendra Khened; Alex Varghese; Ganapathy Krishnamurthi (BrainLes@MICCAI (1), 2018)

Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. - Avinash Kori; Mehul Soni; B. Pranjal; Mahendra Khened; Alex Varghese; Ganapathy Krishnamurthi (BrainLes@MICCAI (2), 2018)

BACH: Grand Challenge on Breast Cancer Histology Images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (CoRR, 2018)

Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. - Avinash Kori; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese (CoRR, 2018)

Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. - Vismay Agrawal; Avinash Kori; Alex Varghese; Ganapathy Krishnamurthi (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

BACH: Grand challenge on breast cancer histology images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (Medical Image Anal., 2019)

Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers. - Mahendra Khened; Alex Varghese; Ganapathy Krishnamurthi (Medical Image Anal., 2019)

2018 Robotic Scene Segmentation Challenge. - 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; et al. (CoRR, 2020)