Alex Varghese

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 19

Top Topics

Magnetic Resonance

Diabetic Retinopathy

Brain Tumor Segmentation

Trained Neural Networks

Top Venues

Medical Image Anal.

BrainLes@MICCAI

Publications

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 (2020)
Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers. Medical Image Anal. 51 (2019)
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, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Paulo Aguiar
BACH: Grand challenge on breast cancer histology images. Medical Image Anal. 56 (2019)
Vikas Kumar Anand, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps. BrainLes@MICCAI (1) (2018)
Avinash Kori, Mehul Soni, B. Pranjal, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. BrainLes@MICCAI (2) (2018)
Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese
Classification of Breast Cancer Histology Image using Ensemble of Pre-trained Neural Networks. ICIAR (2018)
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
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 (2018)
Avinash Kori, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese
Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. CoRR (2018)
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, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismaël Koné, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar
BACH: Grand Challenge on Breast Cancer Histology Images. CoRR (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers. CoRR (2018)
Alex Varghese, Mohammed Safwan K. P., Sai Saketh Chennamsetty, Ganapathy Krishnamurthi
Generative adversarial networks for brain lesion detection. Medical Imaging: Image Processing (2017)
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 (2017)
Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi
Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis. BrainLes@MICCAI (2017)
Mazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Alex Varghese, Ganapathy Krishnamurthi
Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network. BrainLes@MICCAI (2017)
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)
Athira J. Jacob, Alex Varghese, Ganapathy Krishnamurthi
Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming. STACOM@MICCAI (2016)
Alex Varghese, Kiran Vaidhya, Subramaniam Thirunavukkarasu, Chandrasekharan Kesavdas, Ganapathy Krishnamurthi
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. CoRR (2016)
Kiran Vaidhya, Subramaniam Thirunavukkarasu, Alex Varghese, Ganapathy Krishnamurthi
Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders. Brainles@MICCAI (2015)