An efficient point based registration of intra-operative ultrasound images with MR images for computation of brain shift; A phantom study. - Parastoo Farnia; Alireza Ahmadian; Alireza Khoshnevisan; AmirHossein Jaberzadeh; Nasim Dadashi Serej; Anahita Fathi Kazerooni (EMBC, 2011)

Segmentation of brain tumors in MRI images using multi-scale gradient vector flow. - Anahita Fathi Kazerooni; Alireza Ahmadian; Nasim Dadashi Serej; Hamidreza Saligheh Rad; Hooshang Saberi; Hossein Yousefi; Parastoo Farnia (EMBC, 2011)

An efficient algorithm for registration of pre- and intra- operative brain MRI images to correct intensity inhomogeneity. - Anahita Fathi Kazerooni; Alireza Ahmadian; Hooshang Saberi; Javad Alirezaie; Hamidreza Saligheh Rad (ISSPA, 2012)

A high throughput and efficient visualization method for diffusion tensor imaging of human brain white matter employing diffusion-map space. - Mohammad Hadi Aarabi; Anahita Fathi Kazerooni; Narges Salehi; Hamidreza Saligheh Rad (EMBC, 2014)

Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics. - Anahita Fathi Kazerooni; Christos Davatzikos (BrainLes@MICCAI (1), 2020)

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning. - Rachel Madhogarhia; Anahita Fathi Kazerooni; Sherjeel Arif; Jeffrey B. Ware; Ariana M. Familiar; Lorenna Vidal; Sina Bagheri; Hannah Anderson; Debanjan Haldar; Sophie Yagoda; Erin Graves; Michael Spadola; et al. (Computer-Aided Diagnosis, 2022)

Subtyping brain diseases from imaging data. - Junhao Wen 002; Erdem Varol; Zhijian Yang; Gyujoon Hwang; Dominique Dwyer; Anahita Fathi Kazerooni; Paris Alexandros Lalousis; Christos Davatzikos (CoRR, 2022)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; 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)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. - Ariana M. Familiar; Anahita Fathi Kazerooni; Hannah Anderson; Aliaksandr Lubneuski; Karthik Viswanathan; Rocky Breslow; Nastaran Khalili; Sina Bagheri; Debanjan Haldar; Meen Chul Kim; Sherjeel Arif; Rachel Madhogarhia; et al. (CoRR, 2023)

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors. - Arastoo Vossough; Nastaran Khalili; Ariana M. Familiar; Deep Gandhi; Karthik Viswanathan; Wenxin Tu; Debanjan Haldar; Sina Bagheri; Hannah Anderson; Shuvanjan Haldar; Phillip B. Storm; Adam C. Resnick; et al. (CoRR, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)