High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images. - Amit Kumar Chanchal; Shyam Lal; Jyoti R. Kini (Int. J. Comput. Assist. Radiol. Surg., 2021)

Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images. - Amit Kumar Chanchal; Aman Kumar; Shyam Lal; Jyoti R. Kini (Comput. Electr. Eng., 2021)

Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images. - Anirudh Ashok Aatresh; Rohit Prashant Yatgiri; Amit Kumar Chanchal; Aman Kumar; Akansh Ravi; Devikalyan Das; Raghavendra BS; Shyam Lal; Jyoti R. Kini (Comput. Medical Imaging Graph., 2021)

Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images. - Amit Kumar Chanchal; Shyam Lal; Jyoti R. Kini (Multim. Tools Appl., 2022)

Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images. - Amit Kumar Chanchal; Shyam Lal; Dipanshu Barnwal; Prince Sinha; Shrikant Arvavasu; Jyoti R. Kini (Multim. Tools Appl., 2024)

FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images. - Shyam Lal; Amit Kumar Chanchal; Jyoti R. Kini; Gopal Krishna Upadhyay (Multim. Tools Appl., 2024)

Classification and grade prediction of kidney cancer histological images using deep learning. - Amit Kumar Chanchal; Sravya N; Shyam Lal; Sandeep Kumar; P. U. Prakash Saxena (Multim. Tools Appl., 2024)

Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images. - Amit Kumar Chanchal; Shyam Lal; Shilpa Suresh (IEEE Access, 2025)