Publications of Q Wang

Journal Article (2)

1.
Journal Article
Chen, Y.; Wang, Q.; Choi, S.; Zeng, H.; Takahashi, K.; Qian, C.; Yu, X.: Focal fMRI signal enhancement with implantable inductively coupled detectors. NeuroImage 247, 118793 (2022)
2.
Journal Article
Choi, S.; Takahashi, K.; Jiang, Y.; Köhler, S.; Zeng, H.; Wang, Q.; Ma, Y.; Yu, X.: Real-Time fMRI Brain Mapping in Animals. Journal of Visualized Experiments 2020 (163) (2020)

Conference Paper (5)

3.
Conference Paper
Wang, Q.; Mahler, L.; Steiglechner, J.; Birk, F.; Scheffler, K.; Lohmann, G.: DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning. In: IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 2452 - 2461. 2nd Workshop on Computer Vision for Automated Medical Diagnosis: International Conference on Computer Vision (ICCV/CVF 2023) , Paris, France, October 02, 2023 - October 06, 2023. (2023)
4.
Conference Paper
Mahler, L.; Wang, Q.; Steiglechner, J.; Birk, F.; Heczko, S.; Scheffler, K.; Lohmann, G.: Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification. In: Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, pp. 123 - 132 (Eds. Abdulkadir, A.; Bathula, D.; Dvornek, N.; Govindarajan, S.; Habes, M. et al.). 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023), Vancouver, BC, Canada, October 08, 2023. Springer, Cham, Switzerland (2023)
5.
Conference Paper
Wang, Q.; Mahler, L.; Steiglechner, J.; Birk, F.; Scheffler, K.; Lohmann, G.: A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging. In: Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, pp. 23 - 33 (Eds. Abdulkadir, A.; Bathula, D.; Dvornek, N.; Govindarajan, S.; Habes, M. et al.). 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023), Vancouver, BC, Canada, October 08, 2023. Springer, Cham, Switzerland (2023)
6.
Conference Paper
Steiglechner, J.; Wang, Q.; Ramadan, D.; Mahler, L.; Scheffler, K.; Bender, B.; Lindig, T.; Lohmann, G.: FLEXseg: Next Generation Brain MRI Segmentation at 9.4 T. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022), Zürich, Swtzerland, July 06, 2022 - July 08, 2022. (2022)
7.
Conference Paper
Wang, Q.; Steiglechner, J.; Lindig, T.; Bender, B.; Scheffler, K.; Lohmann, G.: Super-Resolution for Ultra High-Field MR Images. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022) , Zürich, Swtzerland , July 06, 2022 - July 08, 2022. (2022)

Meeting Abstract (2)

8.
Meeting Abstract
Wang, Q.; Steiglechner, J.; Lohmann, G.: Sythetic 9T-like structural MRI using Generative Neural Network. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T13, p. 14. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, October 07, 2021. (2021)
9.
Meeting Abstract
Chen, Y.; Wang, Q.; Zeng, H.; Takahashi, K.; Choi, S.; Qian, C.; Yu, X.: Inductively coupled detectors for optogenetic-driven focal and multiregional fMRI signal enhancement. In 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021), 0133. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021), May 15, 2021 - May 20, 2021. (2021)

Poster (2)

10.
Poster
Mahler, L.; Steiglechner, J.; Wang, Q.; Scheffler, K.; Lohmann, G.: JudgeMI: Towards Accurate Metrics for Assessing Deep Learning Based Structural MRI Motion Correction. 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2023), Montreal, Canada (2023)
11.
Poster
Wang, Q.; Steiglechner, J.; Scheffler, K.; Lohmann, G.: Super Resolution Improves Cortical Segmentation Accuracy in Ultra-high Resolution MRI. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2022), Glasgow, UK (2022)

Preprint (1)

12.
Preprint
Lohmann, G.; Heczko, S.; Mahler, L.; Wang, Q.; Steiglechner, J.; Kumar, V.; Roost, M.; Jost, J.; Scheffler, K.: Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning. (submitted)
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