Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution. - Zhifan Jiang; Can Zhao 001; Xinyang Liu; Marius George Linguraru (BrainLes@MICCAI (2), 2021)

Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. - Zhifan Jiang; Abhijeet Parida; Syed Muhammad Anwar; Yucheng Tang; Holger R. Roth; Michael J. Fisher; Roger J. Packer; Robert A. Avery; Marius George Linguraru (EMBC, 2023)

Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. - Xinyang Liu; Erin R. Bonner; Zhifan Jiang; Holger R. Roth; Syed Muhammad Anwar; Roger J. Packer; Miriam Bornhorst; Marius George Linguraru (ISBI, 2023)

From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. - Xinyang Liu; Erin R. Bonner; Zhifan Jiang; Holger R. Roth; Roger J. Packer; Miriam Bornhorst; Marius George Linguraru (Computer-Aided Diagnosis, 2023)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging. - Daniel Capellán-Martín; Zhifan Jiang; Abhijeet Parida; Xinyang Liu; Van Lam; Hareem Nisar; Austin Tapp; Sarah Elsharkawi; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (BraTS/CrossMoDA@MICCAI, 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)

Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI. - Abhijeet Parida; Zhifan Jiang; Syed Muhammad Anwar; Nicholas Foreman; Nicholas Stence; Michael J. Fisher; Roger J. Packer; Robert A. Avery; Marius George Linguraru (CoRR, 2023)

Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

Quantitative Metrics for Benchmarking Medical Image Harmonization. - Abhijeet Parida; Zhifan Jiang; Roger J. Packer; Robert A. Avery; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Ramon Sánchez-Jacob; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (MedAGI@MICCAI, 2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. - Abhijeet Parida; Antònia Alomar; Zhifan Jiang; Pooneh Roshanitabrizi; Austin Tapp; María J. Ledesma-Carbayo; Ziyue Xu 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 2024)

Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. - Xuexin Chen; Ruichu Cai; Kaitao Zheng; Zhifan Jiang; Zhengting Huang; Zhifeng Hao; Zijian Li 001 (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)

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (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)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Austin Tapp; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (CoRR, 2024)

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data. - Abhijeet Parida; Daniel Capellán-Martín; Zhifan Jiang; Austin Tapp; Xinyang Liu; Syed Muhammad Anwar; María J. Ledesma-Carbayo; Marius George Linguraru (CoRR, 2024)

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. - Ruichu Cai; Haiqin Huang; Zhifan Jiang; Zijian Li 001; Changze Zhou; Yuequn Liu; Yuming Liu; Zhifeng Hao (AAAI, 2025)

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. - Zhifan Jiang; Vishwesh Nath; Holger R. Roth; Abhijeet Parida; Nicholas Foreman; Michael J. Fisher; Roger J. Packer; Syed Muhammad Anwar; Robert A. Avery; Marius George Linguraru (ISBI, 2025)

Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. - Xinyang Liu; Pengfei Guo; Daniel Capellán-Martín; Zhifan Jiang; Holger R. Roth; Austin Tapp; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2025)

Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. - Ruichu Cai; Zhifan Jiang; Kaitao Zheng; Zijian Li 001; Weilin Chen 001; Xuexin Chen; Yifan Shen 004; Guangyi Chen 002; Zhifeng Hao; Kun Zhang 001 (WWW, 2025)

Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency. - Xuexin Chen; Ruichu Cai; Kaitao Zheng; Zhifan Jiang; Zhengting Huang; Zhifeng Hao; Zijian Li 001 (Neural Networks, 2025)

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)