Alex Varghese

Orcid: 0000-0001-5095-2358

According to our database1, Alex Varghese authored at least 18 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
2018 Robotic Scene Segmentation Challenge.
CoRR, 2020

2019
Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers.
Medical Image Anal., 2019

BACH: Grand challenge on breast cancer histology images.
Medical Image Anal., 2019

2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs.
CoRR, 2018

Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema.
CoRR, 2018

BACH: Grand Challenge on Breast Cancer Histology Images.
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

Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Classification of Breast Cancer Histology Image using Ensemble of Pre-trained Neural Networks.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017
Generative adversarial networks for brain lesion detection.
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

Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network.
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

Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016

2015
Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015


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