Sanjay Saxena

Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma

Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens et al. · Scientific Reports · 2022 · 88 citations · Full text

Medicine, Bioinformatics, Oncology +17

An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature

Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena · Machine Vision and Applications · 2021 · 86 citations

Computing, Computer Science, Oncology +17

Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine

Anahita Fathi Kazerooni, Stephen Bagley, Hamed Akbari et al. · Cancers · 2021 · 74 citations · Full text

Medicine, Oncology, Radiology +17

Convolutional neural network and its pretrained models for image classification and object detection: A survey

Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena · Concurrency and Computation Practice and Experience · 2021 · 71 citations

Computing, Computer Science, Artificial Intelligence +11

Retracted: Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features

Suchismita Das, Srijib Bose, Gopal Krishna Nayak et al. · Concurrency and Computation Practice and Experience · 2021 · 54 citations

Medicine, Computer Science, Oncology +17