Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images. - Santanu Roy; Shyam Lal; Jyoti R. Kini (IEEE Access, 2019)

LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images. - Anirudh Ashok Aatresh; Kumar Alabhya; Shyam Lal; Jyoti R. Kini; P. U. Prakash Saxena (Int. J. Comput. Assist. Radiol. Surg., 2021)

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)

NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images. - Shyam Lal; Devikalyan Das; Kumar Alabhya; Anirudh Kanfade; Aman Kumar; Jyoti R. Kini (Comput. Biol. Medicine, 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)

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis. - S. Niyas; Shraddha Priya; Reena Oswal; Tojo Mathew; Jyoti R. Kini; Jeny Rajan (CVMI, 2022)

A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis. - Tojo Mathew; S. Niyas; C. I. Johnpaul; Jyoti R. Kini; Jeny Rajan (Biomed. Signal Process. Control., 2022)

Deep learning-based automated mitosis detection in histopathology images for breast cancer grading. - Tojo Mathew; B. Ajith; Jyoti R. Kini; Jeny Rajan (Int. J. Imaging Syst. Technol., 2022)

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)

Novel edge detection method for nuclei segmentation of liver cancer histopathology images. - Santanu Roy; Devikalyan Das; Shyam Lal; Jyoti R. Kini (J. Ambient Intell. Humaniz. Comput., 2023)

A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma. - Tojo Mathew; C. I. Johnpaul; B. Ajith; Jyoti R. Kini; Jeny Rajan (Eng. Appl. Artif. Intell., 2023)

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)

ProsGradNet: An effective and structured CNN approach for prostate cancer grading from histopathology images. - Akshaya Prabhu; Sravya Nedungatt; Shyam Lal; Jyoti R. Kini (Biomed. Signal Process. Control., 2025)

An Efficient Parallel Branch Network for Multi-Class Classification of Prostate Cancer From Histopathological Images. - Vishal Srivastava; Akshaya Prabhu; Sravya Nedungatt; Vibha Damodara Kevala; Shyam Lal; Jyoti R. Kini (Int. J. Imaging Syst. Technol., 2025)