Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. - Ujjwal Baid; Sanjay N. Talbar; Swapnil Rane; Sudeep Gupta; Meenakshi H. Thakur; Aliasgar Moiyadi; Siddhesh Thakur; Abhishek Mahajan (BrainLes@MICCAI (2), 2018)

Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. - Ujjwal Baid; Swapnil Rane; Sanjay N. Talbar; Sudeep Gupta; Meenakshi H. Thakur; Aliasgar Moiyadi; Abhishek Mahajan (Frontiers Comput. Neurosci., 2020)

A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. - Ujjwal Baid; Sanjay N. Talbar; Swapnil Rane; Sudeep Gupta; Meenakshi H. Thakur; Aliasgar Moiyadi; Nilesh Sable; Mayuresh Akolkar; Abhishek Mahajan (Frontiers Comput. Neurosci., 2020)

Choice of intraoperative ultrasound adjuncts for brain tumor surgery. - Manoj Kumar; Santosh Noronha; Narayan Rangaraj; Aliasgar Moiyadi; Prakash Shetty; Vikas Kumar Singh (BMC Medical Informatics Decis. Mak., 2022)

Implications of use of different intraoperative ultrasound modalities during glioma surgery - A comparative study of factors affecting outcomes. - Manoj Kumar; Aliasgar Moiyadi; Narayan Rangaraj; Santosh Noronha; Prakash Shetty; Vikas Kumar Singh; Amit Kumar Choudhari (Int. J. Medical Informatics, 2023)

Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room. - Santiago Cepeda; Olga Esteban-Sinovas; Roberto Romero; Vikas Singh; Prakash Shetty; Aliasgar Moiyadi; Ilyess Zemmoura; Giuseppe Roberto Giammalva; Massimiliano Del Bene; Arianna Barbotti; Francesco DiMeco; Timothy R. West; et al. (Comput. Biol. Medicine, 2025)

Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room. - Santiago Cepeda; Olga Esteban-Sinovas; Roberto Romero; Vikas Singh; Prakash Shetty; Aliasgar Moiyadi; Ilyess Zemmoura; Giuseppe Roberto Giammalva; Massimiliano Del Bene; Arianna Barbotti; Francesco DiMeco; Timothy R. West; et al. (CoRR, 2025)