Cortical mechanisms for acquisition and performance of bimanual motor sequences. - Peter De Weerd; Karen Reinke; Lee Ryan; T. McIsaac; Pamela Perschler; David Schnyer; Theodore P. Trouard; Arthur F. Gmitro (NeuroImage, 2003)

Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research. - Mikhail Milchenko; Abraham Z. Snyder; Pamela LaMontagne; Joshua S. Shimony; Tammie L. S. Benzinger; Sarah Jost Fouke; Daniel S. Marcus (Neuroinformatics, 2016)

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)

Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults. - Mikhail Milchenko; Pamela LaMontagne; Daniel S. Marcus (Computer-Aided Diagnosis, 2020)

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. - Siddhesh P. Thakur; Jimit Doshi; Sarthak Pati; Saima Rathore; Chiharu Sako; Michel Bilello; Sung Min Ha; Gaurav Shukla; Adam E. Flanders; Aikaterini Kotrotsou; Mikhail Milchenko; Spencer Liem; et al. (NeuroImage, 2020)

BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. - Satrajit Chakrabarty; Aristeidis Sotiras; Mikhail Milchenko; Pamela LaMontagne; Christopher Abraham; Clifford Robinson; Daniel S. Marcus (Image Processing, 2021)

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). - Satrajit Chakrabarty; Syed Amaan Abidi; Mina Mousa; Mahati Mokkarala; Isabelle Hren; Divya Yadav; Matthew Kelsey; Pamela LaMontagne; John Wood; Michael Adams; Yuzhuo Su; Sherry Thorpe; et al. (CoRR, 2022)

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. - Satrajit Chakrabarty; Pamela LaMontagne; Joshua S. Shimony; Daniel S. Marcus; Aristeidis Sotiras (CoRR, 2022)

β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3. - Pierrick Bourgeat; Vincent Doré; Samantha Burnham; Tammie L. S. Benzinger; Duygu Tosun; Shenpeng Li; Manu S. Goyal; Pamela LaMontagne; Liang Jin; Christopher C. Rowe; Michael W. Weiner; John C. Morris; et al. (NeuroImage, 2022)

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. - Satrajit Chakrabarty; Pamela LaMontagne; Joshua S. Shimony; Daniel S. Marcus; Aristeidis Sotiras (Computer-Aided Diagnosis, 2023)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

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)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)