Preprints

  • Multimodal Learning for Interactive Brain Tumor MR Image Segmentation Under review in IEEE J-BHI, 2025 Hezhou Han, Wei Li, Qi Wang, Yue Hu
  • Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning Preprint, 2023 Gabriele Lohmann, Samuel Heczko, Lucas Mahler, Qi Wang, Julius Steiglechner, Vinod J. Kumar, Michelle Roost, Jürgen Jost, Klaus Scheffler
  • METAFormer: A Multi-Atlas Enhanced Transformer Architecture for Autism Spectrum Disorder Classification Using Resting-State fMRI Preprint, 2023 Lucas Mahler, Qi Wang, Julius Steiglechner, Florian Birk, Samuel Heczko, Klaus Scheffler, Gabriele Lohmann
  • FLEXseg: Next Generation Brain MRI Segmentation at 9.4T Preprint, 2022 Julius Steiglechner, Qi Wang, Dana Ramadan, Lucas Mahler, Klaus Scheffler, Benjamin Bender, Tobias Lindig, Gabriele Lohmann

Conference Papers

Journal Articles

  • Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP Nature Scientific Reports, 2025 Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule
  • Focal fMRI signal enhancement with implantable inductively coupled detectors NeuroImage, 2022 Yi Chen, Qi Wang, Sangcheon Choi, Hang Zeng, Kengo Takahashi, Chunqi Qian, Xin Yu. (†: Joint first author)
  • Real-Time fMRI Brain Mapping in Animals Journal of Visualized Experiments, 2020 Sangcheon Choi, Kengo Takahashi, Yuanyuan Jiang, Sascha Köhler, Hang Zeng, Qi Wang, Yan Ma, Xin Yu.
  • Abstract & Talks

  • Exploration of Whole-Body Anatomy in the German National Cohort (NAKO): 3D Segmentation of 55 Structures in 28,969 MRI Scans ISMRM, May 2025 | Hawaii USA Louisa Fay, Qi Wang, Bing Yang, Thomas Küstner, Sergios Gatidis
  • Distribution-free uncertainty estimation in multi-parametric quantitative MRI through conformalized quantile regression ISMRM, May 2024 | Singapore Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule
  • Investigating Deep Learning-based Motion Correction Methods for MRI Brain In Depth Conference, Mar. 2024 | Tübingen Germany Qi Wang, Lucas Mahler, Julius Steiglechner, Gabriele Lohmann
  • A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging Oral presentation at MICCAI 2023 MLCN workshop, 2023 | Vancouver Canada
  • Deep learning for MRI super resolution and its applications Oral presentation at Max Planck Institute for intelligence System, 2022 | Tübingen Germany
  • JudgeMI: Towards Accurate Metrics for Assessing Deep Learning Based Structural MRI Motion Correction Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2023 | Montreal Canada Lucas Mahler, Qi Wang, Julius Steiglechner, Gabriele Lohmann
  • Sythetic 9T-like structural MRI using Generative Neural Network Neurowissenschaftliche Nachwuchskonferenz (NeNa) 2021 | Tübingen Germany Qi Wang, Julius Steiglechner, Gabriele Lohmann
  • Super Resolution Improves Cortical Segmentation Accuracy in Ultra-high Resolution MRI Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2022 | Glasgow UK Qi Wang, Julius Steiglechner, Klaus Scheffler, Gabriele Lohmann
  • [Summa cum laude] Inductively coupled detectors for optogenetic-driven focal and multiregional fMRI signal enhancement ISMRM, 2021 | Virtual Yi Chen, Qi Wang, Hang Zeng, Kengo Takahashi, Sangcheon Choi, Chunqi Qian, Xin Yu. (†: Joint first author)
  • Professional Service

    Reviewer for the following journals:

    • IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI)
    • NeuroImage

    and the following conferences:

    • International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    • International Conference on Computer Vision (ICCV)
    • Medical Imaging with Deep Learning (MIDL)
    • International Society for Magnetic Resonance in Medicine (ISMRM DACH)