| Deep learning for genomics: A concise overview T Yue, Y Wang, L Zhang, C Gu, H Xue, W Wang, Q Lyu, Y Dun arXiv preprint arXiv:1802.00810, 2018 | 111 | 2018 |
| Ex Vivo and In Vivo Monitoring and Characterization of Thermal Lesions by High-Intensity Focused Ultrasound and Microwave Ablation Using Ultrasonic … S Zhang, S Shang, Y Han, C Gu, S Wu, S Liu, G Niu, A Bouakaz, M Wan IEEE transactions on medical imaging 37 (7), 1701-1710, 2018 | 37 | 2018 |
| In vivo monitoring of microwave ablation in a porcine model using ultrasonic differential attenuation coefficient intercept imaging S Zhang, R Xu, S Shang, Y Han, S Liu, T Xu, C Gu, X Zhu, G Niu, M Wan International Journal of Hyperthermia 34 (8), 1157-1170, 2018 | 18 | 2018 |
| Robust RF shimming and small‐tip‐angle multispoke pulse design with finite‐difference regularization A Paez, C Gu, Z Cao Magnetic Resonance in Medicine, 2021 | 10 | 2021 |
| Differential Changes in Arteriolar Cerebral Blood Volume between Parkinson’s Disease Patients with Normal and Impaired Cognition and Mild Cognitive Impairment (Mci) Patients … AG Paez, C Gu, S Rajan, X Miao, D Cao, V Kamath, A Bakker, ... Tomography 6 (4), 333-342, 2020 | 8 | 2020 |
| Deep learning for genomics: from early neural nets to modern large language models T Yue, Y Wang, L Zhang, C Gu, H Xue, W Wang, Q Lyu, Y Dun International Journal of Molecular Sciences 24 (21), 15858, 2023 | 6 | 2023 |
| Differential laminar activation dissociates encoding and retrieval in the human medial and lateral entorhinal cortex K Zhang, L Chen, Y Li, AG Paez, X Miao, D Cao, C Gu, JJ Pekar, ... Journal of Neuroscience 43 (16), 2874-2884, 2023 | 4 | 2023 |
| Mutant G2019S-LRRK2 Induces Abnormalities in Arteriolar Cerebral Blood Volume in Mouse Brains: An MRI Study B Ning, G Guo, C Gu, J Xu, A Bibic, X He, H Liu, L Chen, Z Wei, W Duan, ... Neurodegenerative Diseases 20 (2-3), 65-72, 2021 | 2 | 2021 |
| On the optimization of 3D inflow‐based vascular‐space‐occupancy (iVASO) MRI for the quantification of arterial cerebral blood volume (CBVa) C Gu, Y Li, D Cao, X Miao, AG Paez, Y Sun, J Cai, W Li, X Li, JJ Pillai, ... Magnetic Resonance in Medicine, 2023 | | 2023 |
| Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework Z Xin, C Wu, D Liu, C Gu, J Guo, J Hua arXiv preprint arXiv:2312.08343, 2023 | | 2023 |
| Whole-Brain Arterial Cerebral Blood Volume (CBVa) Measurement Using 3D Inflow-Based Vascular-Space-Occupancy (iVASO) MRI C Gu, D Cao, X Miao, A Paez, J Cai, Y Li, W Li, J Pillai, P Van Zijl, J Hua MEDICAL PHYSICS 49 (6), E638-E639, 2022 | | 2022 |
| On the optimization of 3D inflow-based vascular-space-occupancy (iVASO) MRI for the quantification of arteriolar cerebral blood volume (CBVa) C Gu, D Cao, X Miao, AG Paez, J Cai, Y Li, W Li, JJ Pillai, PCM van Zijl, ... Proc. Intl. Soc. Mag. Reson. Med. 30, 2022 | | 2022 |
| Increases in Arteriolar Cerebral Blood Volume in Huntington’s Disease Measured with Inflow-based Vascular-space-occupancy (iVASO) MRI at 7T C Gu, M Kronenbuerger, D Cao, AG Paez, X Miao, X Hou, J Bang, KE Ultz, ... Proc. Intl. Soc. Mag. Reson. Med. 28, 2020 | | 2020 |
| Evaluation of point-spread-function and signal-to-noise ratio in highly-accelerated Compressed Sensing-SENSE (CS-SENSE) and SENSE MRI D Cao, AG Paez, X Miao, D Liu, C Gu, J Hua Proc. Intl. Soc. Mag. Reson. Med. 28, 2020 | | 2020 |
| Predicting Hemorrhagic and Thrombotic Complications in Pediatric Patients on Extracorporeal Membrane Oxygenation (ECMO) Support C Gu, V Tran, Y Kang, X Zhu, P Epler, S Sarma, M Bembea | | 2020 |
| Olfactory functional MRI (fMRI) using T2-prepared BOLD fMRI at ultra-high field (7T) AG Paez, S Rajan, GA Chaney, X Miao, D Cao, C Gu, DG Liu, ... Proc. Intl. Soc. Mag. Reson. Med. 27, 2019 | | 2019 |
| In vivo and ex vivo monitoring of thermal ablation in a porcine model using ultrasonic nakagami imaging S Zhang, S Shang, Y Han, R Xu, C Gu, L Zhang, M Wan Journal of Therapeutic Ultrasound 6 (Suppl 1), 39, 2018 | | 2018 |
| Longitudinal diffusion MRI for predicting response to radiotherapy in sarcoma patients Y Gao, C Gu, J Kim, M Cao, A Kalbasi, D Ruan, DA Low, P Hu, Y Yang Proc. Intl. Soc. Mag. Reson. Med. 26, 2018 | | 2018 |
| Treatment Response Prediction Using Texture Features From Longitudinal Diffusion MRI in Sarcoma Patients Y Gao, C Gu, J Kim, M Cao, J Fu, A Kalbasi, D Ruan, J Lewis, D Low, ... MEDICAL PHYSICS 45, 2018 | | 2018 |
Adrian PaezKennedy Krieger InstituteVerified email at kennedykrieger.org
