Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Ivan Ho Mien; Arulmurugan Ambikapathi (ICIP, 2020)

An image augmentation approach using two-stage generative adversarial network for nuclei image segmentation. - Siddharth Pandey; Pranshu Ranjan Singh; Jing Tian 002 (Biomed. Signal Process. Control., 2020)

Classification Representations Can be Reused for Downstream Generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (CoRR, 2020)

Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments. - Balagopal Unnikrishnan; Pranshu Ranjan Singh; Xulei Yang; Matthew Chin Heng Chua (CoRR, 2020)

Task-Agnostic Continual Learning Using Base-Child Classifiers. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Qiao ZhongZheng; Ponnuthurai N. Suganthan; Savitha Ramasamy; Arulmurugan Ambikapathi (ICIP, 2021)

Knowledge Capture and Replay for Continual Learning. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Haytham M. Fayek; Savitha Ramasamy; Arulmurugan Ambikapathi (WACV, 2022)

Classify and generate: Using classification latent space representations for image generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (Neurocomputing, 2022)