In silico model for P-glycoprotein substrate prediction: insights from molecular dynamics and in vitro studies. - Rameshwar Prajapati; Udghosh Singh; Abhijeet Patil; Kailas S. Khomane; Pravin Bagul; Arvind K. Bansal; Abhay T. Sangamwar (J. Comput. Aided Mol. Des., 2013)

WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. - Suman Kalyan Maity; Anshit E. Chaudhary; Shraman Kumar; Animesh Mukherjee 001; Chaitanya Sarda; Abhijeet Patil; Akash Mondal (CSCW Companion, 2016)

Identifying and Characterizing Sleeping Beauties on YouTube. - Sandipan Sikdar; Anshit E. Chaudhary; Shraman Kumar; Niloy Ganguly; Abhijnan Chakraborty; Gaurav Kumar; Abhijeet Patil; Animesh Mukherjee 001 (CSCW Companion, 2016)

Visualization for Histopathology Images using Graph Convolutional Neural Networks. - Mookund Sureka; Abhijeet Patil; Deepak Anand; Amit Sethi (BIBE, 2020)

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. - Abhijeet Patil; Dipesh Tamboli; Swati Meena; Deepak Anand; Amit Sethi (CoRR, 2020)

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. - Mukesh Kumar Vishal; Dipesh Tamboli; Abhijeet Patil; Rohit Saluja; Biplab Banerjee; Amit Sethi; Raju Dhandapani; Sudhir Kumar 003; Rabi Narayan Sahoo; Viswanathan Chinnusamy; J. Adinarayana (CoRR, 2020)

Sample Specific Generalized Cross Entropy for Robust Histology Image Classification. - Nikhil Cherian Kurian; Pragati Shuddhodhan Meshram; Abhijeet Patil; Sunil Patel; Amit Sethi (ISBI, 2021)

Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images. - Abhijeet Patil; Mohd. Talha; Aniket Bhatia; Nikhil Cherian Kurian; Sammed Mangale; Sunil Patel; Amit Sethi (ISBI, 2021)

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. - Ruchika Verma; Neeraj Kumar 002; Abhijeet Patil; Nikhil Cherian Kurian; Swapnil Rane; Simon Graham; Quoc Dang Vu; Mieke Zwager; Shan-E-Ahmed Raza; Nasir M. Rajpoot; Xiyi Wu; Huai Chen; et al. (IEEE Trans. Medical Imaging, 2021)

Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". - Ruchika Verma; Neeraj Kumar 002; Abhijeet Patil; Nikhil Cherian Kurian; Swapnil Rane; Amit Sethi (IEEE Trans. Medical Imaging, 2022)

HER2 and Fish Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning. - Ardhendu Sekhar; Vrinda Goel; Garima Jain; Abhijeet Patil; Ravi Kant Gupta; Tripti Bameta; Swapnil Rane; Amit Sethi (BIBE, 2024)

HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning. - Ardhendu Sekhar; Vrinda Goel; Garima Jain; Abhijeet Patil; Ravi Kant Gupta; Amit Sethi (CoRR, 2024)

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training. - Abhijeet Patil; Harsh Diwakar; Jay Sawant; Nikhil Cherian Kurian; Subhash Yadav; Swapnil Rane; Tripti Bameta; Amit Sethi (CoRR, 2024)

Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images. - Abhijeet Patil; Garima Jain; Harsh Diwakar; Jay Sawant; Tripti Bameta; Swapnil Rane; Amit Sethi (CoRR, 2024)

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. - Akhila Krishna K; Nikhil Cherian Kurian; Abhijeet Patil; Amruta Parulekar; Amit Sethi (CoRR, 2024)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (Medical Image Anal., 2024)

Evaluation Metric for Quality Control and Generative Models in Histopathology Images. - Pranav Jeevan; Neeraj Nixon; Abhijeet Patil; Amit Sethi (ISBI, 2025)

Pathogen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. - Akhila Krishna K; Nikhil Cherian Kurian; Abhijeet Patil; Amruta Parulekar; Pranav Jeevan; Amit Sethi (ISBI, 2025)

HER2 Status Prediction in Breast Cancer: A Weak Supervision and Contrastive Learning Approach on H&E Stains. - Ardhendu Sekhar; Vrinda Goel; Garima Jain; Abhijeet Patil; Aditya Bhangale; Ravi Kant Gupta; Tripti Bameta; Swapnil Rane; Amit Sethi (ISBI, 2025)

A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma. - Garima Jain; Sanghamitra Pati; Mona Duggal; Amit Sethi; Abhijeet Patil; Gururaj Malekar; Nilesh Kowe; Jitender Kumar; Jatin Kashyap; Divyajeet Rout; Deepali; Hitesh; et al. (CoRR, 2025)

Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models. - Garima Jain; Ravi Kant Gupta; Priyansh Jain; Abhijeet Patil; Ardhendu Sekhar; Gajendra Smeeta; Sanghamitra Pati; Amit Sethi (CoRR, 2025)