NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images S Lal, D Das, K Alabhya, A Kanfade, A Kumar, J Kini Computers in Biology and Medicine 128, 104075, 2021 | 109 | 2021 |
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images AA Aatresh, RP Yatgiri, AK Chanchal, A Kumar, A Ravi, D Das, ... Computerized Medical Imaging and Graphics 93, 101975, 2021 | 28 | 2021 |
Novel edge detection method for nuclei segmentation of liver cancer histopathology images S Roy, D Das, S Lal, J Kini Journal of Ambient Intelligence and Humanized Computing 14 (1), 479-496, 2023 | 18 | 2023 |
Image quality restoration framework for contrast enhancement of satellite remote sensing images S Suresh, D Das, S Lal, D Gupta Remote Sensing Applications: Society and Environment 10, 104-119, 2018 | 15 | 2018 |
Neural parametric gaussians for monocular non-rigid object reconstruction D Das, C Wewer, R Yunus, E Ilg, JE Lenssen arXiv preprint arXiv:2312.01196, 2023 | 11 | 2023 |
A robust framework for quality enhancement of aerial remote sensing images EK Kumari, D Das, S Suresh, S Lal, AV Narasimhadhan Infrared Physics & Technology 93, 362-374, 2018 | 4 | 2018 |
A framework for quality enhancement of multispectral remote sensing images S Suresh, D Das, S Lal 2017 Ninth International Conference on Advanced Computing (ICoAC), 9-14, 2017 | 4 | 2017 |