| Focal fMRI signal enhancement with implantable inductively coupled detectors Y Chen, Q Wang, S Choi, H Zeng, K Takahashi, C Qian, X Yu NeuroImage 247, 118793, 2022 | 6 | 2022 |
| Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification L Mahler, Q Wang, J Steiglechner, F Birk, S Heczko, K Scheffler, ... International Workshop on Machine Learning in Clinical Neuroimaging, 123-132, 2023 | 4 | 2023 |
| Super-resolution for ultra high-field MR images Q Wang, J Steiglechner, T Lindig, B Bender, K Scheffler, G Lohmann Medical Imaging with Deep Learning, 2022 | 3 | 2022 |
| A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging Q Wang, M Lucas, J Steiglechner, F Birk, K Scheffler, G Lohmann Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN …, 2023 | 2 | 2023 |
| DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning Q Wang, L Mahler, J Steiglechner, F Birk, K Scheffler, G Lohmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Real-time fMRI brain mapping in animals S Choi, K Takahashi, Y Jiang, S Köhler, H Zeng, Q Wang, Y Ma, X Yu JoVE (Journal of Visualized Experiments), e61463, 2020 | 2 | 2020 |
| FLEXseg: Next Generation Brain MRI Segmentation at 9.4 T J Steiglechner, Q Wang, D Ramadan, L Mahler, K Scheffler, B Bender, ... Medical Imaging with Deep Learning (MIDL 2022), 2022 | 1 | 2022 |
