Upsampling dynamic contrast enhanced MRI. - Kourosh Jafari-Khouzani; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (ISBI, 2015)

Bayesian Personalization of Brain Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (MICCAI (2), 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

MRI Based Bayesian Personalization of a Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (IEEE Trans. Medical Imaging, 2016)

Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. - Andrew Beers; Ken Chang; James M. Brown 001; Emmett Sartor; C. P. Mammen; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (CoRR, 2017)

Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (IEEE Trans. Medical Imaging, 2017)

Sequential neural networks for biologically-informed glioma segmentation. - Andrew Beers; Ken Chang; James M. Brown 001; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (Image Processing, 2018)

DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; Ken Chang; Katharina Hoebel; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (CoRR, 2018)

Field of View Normalization in Multi-Site Brain MRI. - Yangming Ou; Lilla Zöllei; Xiao Da; Kallirroi Retzepi; Shawn N. Murphy; Elizabeth R. Gerstner; Bruce R. Rosen; Patricia Ellen Grant; Jayashree Kalpathy-Cramer; Randy L. Gollub (Neuroinformatics, 2018)

Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks. - Jay B. Patel; Ken Chang; Katharina Hoebel; Mishka Gidwani; Nishanth Thumbavanam Arun; Sharut Gupta; Mehak Aggarwal; Praveer Singh; Bruce R. Rosen; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer (BrainLes@MICCAI (2), 2020)

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)

DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; Ken Chang; Katharina Hoebel; Jay B. Patel; K. Ina Ly; Sara M. Tolaney; Priscilla K. Brastianos; Bruce R. Rosen; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer (Neuroinformatics, 2021)

Is this good enough? On expert perception of brain tumor segmentation quality. - Katharina Hoebel; Christopher P. Bridge; Sara Ahmed; Oluwatosin Akintola; Caroline Chung; Raymond Y. Huang; Jason Johnson; Albert E. Kim; K. Ina Ly; Ken Chang; Jay B. Patel; Marco Pinho; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST). - Jonah Weigand-Whittier; Maria Sedykh; Kai Herz; Jaume Coll-Font; Anna N. Foster; Elizabeth R. Gerstner; Christopher Nguyen; Moritz Zaiss; Christian T. Farrar; Or Perlman (CoRR, 2022)

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. - Jay B. Patel; Syed Rakin Ahmed; Ken Chang; Praveer Singh; Mishka Gidwani; Katharina Hoebel; Albert E. Kim; Christopher P. Bridge; Chung-Jen Teng; Xiaomei Li; Gongwen Xu; Megan McDonald; et al. (MLHC, 2023)

Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases. - Tobias R. Bodenmann; Nelson Gil; Felix J. Dorfner; Mason C. Cleveland; Jay B. Patel; Shreyas Bhat Brahmavar; Melisa S. Guelen; Dagoberto Pulido-Arias; Jayashree Kalpathy-Cramer; Jean-Philippe Thiran; Bruce R. Rosen; Elizabeth R. Gerstner; et al. (CaPTion@MICCAI, 2024)

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. - Tiago Gonçalves; Dagoberto Pulido-Arias; Julian Willett; Katharina Viktoria Hoebel; Mason C. Cleveland; Syed Rakin Ahmed; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer; Jaime S. Cardoso 001; Christopher P. Bridge; Albert E. Kim (CoRR, 2024)