Nonsubsampled rotated complex wavelet transform (NSRCxWT) for medical image fusion related to clinical aspects in neurocysticercosis. - Satishkumar S. Chavan; Abhishek Mahajan; Sanjay N. Talbar; Subhash Desai; Meenakshi Thakur; Anil D'cruz (Comput. Biol. Medicine, 2017)

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)

Radiomics based detection and characterization of suspicious lesions on full field digital mammograms. - Suhas G. Sapate; Abhishek Mahajan; Sanjay N. Talbar; Nilesh Sable; Subhash Desai; Meenakshi Thakur (Comput. Methods Programs Biomed., 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Multicollinearity Analysis for Cuffless Blood Pressure Estimation Regression Algorithms. - Prabhav Mehra; Rajee Gupta; Abhishek Mahajan; Veeky Baths (ICBSP, 2019)

Radiomics for peripheral zone and intra-prostatic urethra segmentation in MR imaging. - Praful Hambarde; Sanjay N. Talbar; Nilesh Sable; Abhishek Mahajan; Satishkumar S. Chavan; Meenakshi Thakur (Biomed. Signal Process. Control., 2019)

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)

Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. - Ganesh Singadkar; Abhishek Mahajan; Meenakshi Thakur; Sanjay N. Talbar (J. Digit. Imaging, 2020)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Automatic lung segmentation for the inclusion of juxtapleural nodules and pulmonary vessels using curvature based border correction. - Ganesh Singadkar; Abhishek Mahajan; Meenakshi Thakur; Sanjay N. Talbar (J. King Saud Univ. Comput. Inf. Sci., 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)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)