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)

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

A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. - Aditya Bagari; Ashish Kumar 004; Avinash Kori; Mahendra Khened; 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)

2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. - Krishna Chaitanya Kaluva; Mahendra Khened; Avinash Kori; Ganapathy Krishnamurthi (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)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 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)

Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. - Vikas Kumar Anand; Sanjeev Grampurohit; Pranav Aurangabadkar; Avinash Kori; Mahendra Khened; Raghavendra S. Bhat; Ganapathy Krishnamurthi (BrainLes@MICCAI (2), 2020)

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. - Mahendra Khened; Avinash Kori; Haran Rajkumar; Balaji Srinivasan; Ganapathy Krishnamurthi (CoRR, 2020)

PAIP 2019: Liver cancer segmentation challenge. - Yoo Jung Kim; Hyungjoon Jang; Kyoungbun Lee; Seongkeun Park; Sung-Gyu Min; Choyeon Hong; Jeong Hwan Park; Kanggeun Lee; Jisoo Kim; Wonjae Hong; Hyun Jung; Yanling Liu; et al. (Medical Image Anal., 2021)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)