MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks. - Benjamin B. Yan; Yujia Wei; Jaidip Manikrao M. Jagtap; Mana Moassefi; Diana V. Vera Garcia; Yashbir Singh; Sanaz Vahdati; Shahriar Faghani; Bradley J. Erickson; Gian Marco Conte (BrainLes@MICCAI (2), 2021)

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report. - Pouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Mana Moassefi; Sanaz Vahdati; Bradley J. Erickson (CoRR, 2022)

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. - Mana Moassefi; Pouria Rouzrokh; Gian Marco Conte; Sanaz Vahdati; Tianyuan Fu; Aylin Tahmasebi; Mira Younis; Keyvan Farahani; Amilcare Gentili; Timothy Kline; Felipe C. Kitamura; Yuankai Huo; et al. (J. Imaging Inform. Medicine, 2023)

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI. - Shahriar Faghani; Bardia Khosravi; Mana Moassefi; Gian Marco Conte; Bradley J. Erickson (J. Digit. Imaging, 2023)

Few-shot biomedical image segmentation using diffusion models: Beyond image generation. - Bardia Khosravi; Pouria Rouzrokh; John P. Mickley; Shahriar Faghani; Kellen L. Mulford; Linjun Yang; A. Noelle Larson; Benjamin M. Howe; Bradley J. Erickson; Michael J. Taunton; Cody C. Wyles (Comput. Methods Programs Biomed., 2023)

Toward Clinically Trustworthy Deep Learning: Applying Conformal Prediction to Intracranial Hemorrhage Detection. - Cooper U. Gamble; Shahriar Faghani; Bradley J. Erickson (CoRR, 2024)

CONFLARE: CONFormal LArge language model REtrieval. - Pouria Rouzrokh; Shahriar Faghani; Cooper U. Gamble; Moein Shariatnia; Bradley J. Erickson (CoRR, 2024)

RadRotator: 3D Rotation of Radiographs with Diffusion Models. - Pouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Kellen L. Mulford; Michael J. Taunton; Bradley J. Erickson; Cody C. Wyles (CoRR, 2024)

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. - Spyridon Bakas; Siddhesh P. Thakur; Shahriar Faghani; Mana Moassefi; Ujjwal Baid; Verena Chung; Sarthak Pati; Shubham Innani; Bhakti Baheti; Jake Albrecht; Alexandros Karargyris; Hasan Kassem; 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)