Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection? - Aristotelis-Angelos Papadopoulos; Nazim Shaikh; Mohammad Reza Rajati (CoRR, 2019)

Outlier exposure with confidence control for out-of-distribution detection. - Aristotelis-Angelos Papadopoulos; Mohammad Reza Rajati; Nazim Shaikh; Jiamian Wang (Neurocomputing, 2021)

Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients. - Qiangqiang Gu 001; Nazim Shaikh; Ping-chang Lin; Srinath Jayachandran; Prasanna Porwal; Xiao Li; Yao Nie (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Structured Model Pruning for Efficient Inference in Computational Pathology. - Mohammed Adnan; Qinle Ba; Nazim Shaikh; Shivam Kalra; Satarupa Mukherjee; Auranuch Lorsakul (MOVI@MICCAI, 2024)

Clustering-Enhanced Multimodal Pre-Training for Histology-Gene Joint Representation Learning. - Danial Maleki; Nazim Shaikh; Gareth Shannon; Jian Li; Yao Nie (ISBI, 2025)