Magnetic resonance estimation of longitudinal relaxation time (T1) in spoiled gradient echo using an adaptive neural network. - Hassan Bagher-Ebadian; Rajan Jain; Ramesh Paudyal; Siamak P. Nejad-Davarani; Jayant Narang; Quan Jiang; Tom Mikkelsen; James R. Ewing (IJCNN, 2011)

Segmentation of corpus callosum using diffusion tensor imaging: validation in patients with glioblastoma. - Mohammad-Reza Nazem-Zadeh; Sona Saksena; Abbas Babajani-Feremi; Quan Jiang; Hamid Soltanian-Zadeh; Mark Rosenblum; Tom Mikkelsen; Rajan Jain (BMC Medical Imaging, 2012)

A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features. - Cameron Severn; Krithika Suresh; Carsten Görg; Yoon Seong Choi; Rajan Jain; Debashis Ghosh (Sensors, 2022)

The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. - Youngjin Yoo; Gengyan Zhao; Andreea Sandu; Thomas J. Re; Jyotipriya Das; Hesheng Wang 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; et al. (Computer-Aided Diagnosis, 2023)

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. - Gengyan Zhao; Youngjin Yoo; Thomas J. Re; Jyotipriya Das; Hesheng Wang 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; Rajan Jain; et al. (Image Processing, 2023)