Time frequency analysis: A sparse S transform approach. - Kashyap Patel; Nikhil Cherian Kurian; Nithin V. George (ISPACS, 2016)

Improving Histopathology Classification using Learnable Preprocessing. - Viraf Patrawala; Nikhil Cherian Kurian; Amit Sethi (TENCON, 2019)

Satellite-Derived Bathymetry Using Deep Convolutional Neural Network. - Bibin Wilson; Nikhil Cherian Kurian; Anand Singh; Amit Sethi (IGARSS, 2020)

Robust Classification of Histology Images Exploiting Adversarial Auto Encoders. - Nikhil Cherian Kurian; Gurparkash Singh; Poorvi Hebbar; Shreekanya Kodate; Swapnil Rane; Amit Sethi (EMBC, 2021)

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)

Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. - Sahar Almahfouz Nasser; Nikhil Cherian Kurian; Amit Sethi (MIDOG/MOOD/Learn2Reg@MICCAI, 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)

A 2021 update on cancer image analytics with deep learning. - Nikhil Cherian Kurian; Amit Sethi; Anil Reddy Konduru; Abhishek Mahajan; Swapnil Ulhas Rane (WIREs Data Mining Knowl. Discov., 2021)

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation. - Nikhil Cherian Kurian; Amit Lehan; Gregory Verghese; Nimish Dharamshi; Swati Meena; Mengyuan Li; Fangfang Liu; Cheryl Gillet; Swapnil Rane; Anita Grigoriadis; Amit Sethi (BIBE, 2022)

WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. - Sahar Almahfouz Nasser; Nikhil Cherian Kurian; Mohit Meena; Saqib Shamsi; Amit Sethi (BrainLes@MICCAI (2), 2022)

Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks. - Nikhil Cherian Kurian; S. Varsha; Akshay Bajpai; Sunil Patel; Amit Sethi (ISBI, 2022)

Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation. - Nikhil Cherian Kurian; Amit Lohan; Gregory Verghese; Nimish Dharamshi; Swati Meena; Mengyuan Li; Fangfang Liu; Cheryl Gillet; Swapnil Rane; Anita Grigoriadis; Amit Sethi (CoRR, 2022)

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)

Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring. - Nikhil Cherian Kurian; S. Varsha; Abhijit Patil; Shashikant Khade; Amit Sethi (BIBE, 2023)

Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer. - Tirupati Saketh Chandra; Sahar Almahfouz Nasser; Nikhil Cherian Kurian; Amit Sethi (BIOIMAGING, 2023)

EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning. - Ravi Kant Gupta; Shivani Nandgaonkar; Nikhil Cherian Kurian; Tripti Bameta; Subhash Yadav; Rajiv Kumar Kaushal; Swapnil Rane; Amit Sethi (BIOIMAGING, 2023)

Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques. - Nikhil Cherian Kurian; Niraj Kumar (GLOBECOM, 2023)

Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis. - Akhila Krishna K; Ravi Kant Gupta; Nikhil Cherian Kurian; Pranav Jeevan; Amit Sethi (GRAIL/OCELOT@MICCAI, 2023)

Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis. - Akhila Krishna K; Ravi Kant Gupta; Nikhil Cherian Kurian; Pranav Jeevan; Amit Sethi (CoRR, 2023)

Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. - Pranav Jeevan; Nikhil Cherian Kurian; Amit Sethi (BIOSTEC (1), 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)

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)

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)