| 2023 | BIBE | 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 |
| 2023 | GLOBECOM | Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques. | Nikhil Cherian Kurian, Niraj Kumar |
| 2023 | MICCAI | 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 |
| 2022 | BIBE | 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 |
| 2021 | MICCAI | Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. | Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi |
| 2020 | IGARSS | Satellite-Derived Bathymetry Using Deep Convolutional Neural Network. | Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi |
| 2019 | Tencon | Improving Histopathology Classification using Learnable Preprocessing. | Viraf Patrawala, Nikhil Cherian Kurian, Amit Sethi |