媒体报道
科学美国人
2026-10-01
Building a See-Through Brain
A new experimental approach at the interface of chemistry and biology lets scientists peer into the deepest reaches of the body’s master controller
南方周末
2026-08-04
点亮神经元，寻找记忆痕迹
美国斯坦福大学德塞罗斯领导的一个科学团队最近发现，在大脑一个叫前额叶皮层的区域中，有关愉悦经历的记忆和有关恐惧、悲伤经历的记忆是存储在不同的神经回路里的。这项研究成果有望在未来为抑郁症等疾病的治疗指明方向。
开源数据
MGH Connectome Diffusion Microstructure Dataset (CDMD)
- Hardware: MGH-USC 3T Connectome scanner equipped with 300 mT/m maximum gradient strength, custom-built 64-channel head coil
- Participant: 26 healthy participants, 7 out of 26 participants rescanned in the same day
- Diffusion MRI Protocol: pulsed gradient spin echo sequence, 2 mm isotropic, two diffusion times (19 and 49 ms), 8 ms gradient duration,8 gradient strengths linearly spaced between 30 mT/m and 290 mT/m per diffusion time (i.e., 8 shells), 32 (b <= 3000 s/mm^2) or 64(b > 3000 s/mm^2) uniform directions per shell, 850 image volumes in total, 1 hour scan time, real-valued diffusion data available for14 outof 26 participants (including all 7 participants with rescan data)
- Anatomical MRI Protocol: T1-weighted MPRAGE sequence, 1 mm isotropic (FreeSurfer reconstruction results available)
- Additioanl Data: Please contact BIRTH Lab for unprocessed imaging data and/or demographic data
技术专利
一种模型驱动的自监督深度学习磁共振图像重建算法
- 田启源，宋同羲
基于扩散先验的微结构模型优化方法、装置及电子设备
- 田启源，李子涵，郑佳兰，杨鸿嘉，刘铭轩，廖洪恩
扩散磁共振成像微观结构参数估计方法、装置及电子设备
- 田启源，陈一飞，李子涵，郑佳兰，杨鸿嘉，刘铭轩
胸部计算机断层扫描图文大模型建构方法、装置及设备
- 田启源，白旭光，刘铭轩
无监督胎儿脑出血检测和病灶分割方法、装置及电子设备
- 田启源，刘铭轩，曲海波，廖怡，朱俊丞，李浩翔，杨鸿嘉，袁勋
胎儿脑部磁共振单厚层扫描三维重建方法、装置及设备
- 田启源，杨鸿嘉，曲海波，刘铭轩，李浩翔，廖怡，朱俊丞，贾凤林
Methods for Visualization and Quantification of Fiber-like Structures
- Deisseroth K, Ye L, McNab JA, Tian Q
- 美国专利号10641782
Super-resolution Anatomical Magnetic Resonance Imaging using Deep Learning for Cerebral Cortex Segmentation
- Tian Q, Huang SY, Bilgic B
- 美国专利号11449989
Estimating Diffusion Metrics from Diffusion-weighted Magnetic Resonance Images using Optimized K-Q Space Sampling and Deep Learning
- Fan Q, Huang SY, Tian Q, Ngamsombat C
- 美国专利号12044762
Fast Diffusion Tensor MRI using Deep Learning
- Tian Q, Huang SY, Bilgic B
- 美国专利号11874359
国际讲座
Necessity and Challenges of Big Data in MRI
国际医学磁共振学会泰国全球拓展研讨会，2024年5月
Diffusion MRI Methods in Psychiatric Disorders
海外华人医学磁共振学会网络研讨会, 2023年10月
Advanced Magnetic Resonance Imaging of Human Brain Microstructure and Structural Connectivity
医学图像计算青年研讨会（MICS），2023年7月
Advanced Magnetic Resonance Imaging of Human Brain Microstructure and Structural Connectivity
国际神经血管疾病学会脑疾病研讨会，2023年5月
Local, Linear and Learned (L3): A New Architecture for Camera Image Processing Pipeline
高通公司，2016
Accelerating a Learning-based Image Processing Pipeline for Digital Cameras: Local, Linear and Learned (L3) Pipeline
英伟达GPU技术大会，2015
书籍章节
（*通讯作者）
Enhance the Image: Super Resolution in MRI
- Li ZY, Li ZH, Li H, Fan Q, Miller KL, Wu W, Chaudhari AS, Tian Q*
- Machine Learning in MRI: From Methods to Clinical Translation. Elsevier
Diffusion MRI Artifacts
- Fan Q*, Dong T, Zhou Z, Tian Q*
- Diffusion MRI User Guide-A Window to Biological Tissue Architecture to Medical Applications. Springer/Nature in the Diagnostic Imaging Series
受邀综述
（#共同一作, *通讯作者）
- Yang H#, Wang G#, Li Z, Li H, Hu Y, Cao X, Liao C, Ye H, Tian Q*
- Magnetic Resonance Materials in Physics Biology and Medicine, 2024; 37 (3): 383-396
- Fan Q, Eichner C, Mueller L, Afzali M, Tax C, Davids M, Mahmutovic M, Keil B, Bilgic B, Setsompop K, Tian Q, Maffei C, Llorden GR, Lee HH, Nummenmaa A, Witzel T, Yendiki A, Huang CC, Lin CP, Weiskopf N, Anwander A, Jones DK, Rosen BR, Wald LL, Huang SY
- NeuroImage, 2022; 254: 118958
- Huang SY, Witzel T, Keil B, Scholz A, Davids M, Dietz P, Rummert E, Ramb R, Kirscha JE, Yendiki A, Fan Q, Tian Q, Llorden GR, Lee HH, Nummenmaa A, Bilgic B, Setsompop K, Wang F, Avram AV, Komlosh M, Benjamini D, Magdoom KN, Pathak S, Schneider W, Novikov D, Fieremans E, Mekkaoui C, Augustinack J, Fischl B, Berger D, Shapson-Coe A, Lichtman J, Basser PJ, Wald LL, Rosen BR
- Magnetic Resonance Materials in Physics Biology and Medicine, 2021; 243: 118530
主导论文
第一和通讯作者期刊论文
（#共同一作, *通讯作者）
2026
SRNR: Deep Learning-based MRI Super-resolution using Noisy High-resolution Reference Data
- Yang H#, Zhang M#, Xiao J, Liu W, Yin T, He Y, Zheng J, Li Z, Liao C, Liu W, Liao Y, Li Z*, Qu H*, Tian Q*
- Imaging Neuroscience, 2026
PANDA: Patch-based Unsupervised Deep Learning for Brain Anomaly Detection via Age Prediction in Fetal MRI
- Hao Y#, Liu M#, Zhu J#, Li H, Yang H, Liao Y, Qu H*, Tian Q*
- Imaging Neuroscience, 2026
MicroKAN: Mapping Human Brain Microstructure using Diffusion MRI and Convolutional Kolmogorov-Arnold Network
- Chen Y#, Li Z#, Wang Y, Li Y, Zheng J, Yang H, Liu M, Cukur T, Fan Q, Li Z*, Lu J*, Tian Q*
- NeuroImage, 2026
A Chinese Vision-Language Large Model for Emergency 3D Brain CT Interpretation
- Chen Y#, Zheng J#, Wang Y#, Wu B, Li L, Liu M, Xu L, Wu X, Liu C, Luo L, Yang H, Bai X, Qin F, Liao Q, Gu Y, Zhao G, Ma L, Pan K, Guo J, Zhou Y, Sun H*, Tian Q*
- npj Digital Medicine, 2026
No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation
- Zhu S#, Chen Y#, Chen W, Jiang S, Zhou G, Wang Y, Qin F*, Wang C, Tian Q*
- Medical Image Analysis, 2026
Quality-label-free Fetal Brain MRI Quality Control Based on Image Orientation Recognition Uncertainty
- Liu M#, Liao Y#, Li H, Zhu J, Yang H, Hao Y, Qu H*, Tian Q*
- Medical Image Analysis, 2026; 110; 103994
Noise2Average: An Iterative Residual Learning Strategy for Image Denoising Without Clean Data
- Li Z, Bilgic B, Li Z, Ying K, Polimeni JR, Huang S, Tian Q*
- Imaging Neuroscience, 2026; 10.1162; IMAG. a. 1163
Effects of Diffusion MRI Spatial Resolution on Human Brain Short-Range Association Fiber Reconstruction and Structural Connectivity Estimation
- Zheng J, Li Z*, Zhong W, Wang Z, Li Z, Yang H, Liu M, Cao X, Liao C, Salat DH, Huang SY, Tian Q*
- Imaging Neuroscience, 2026
2025
Quantifying Axonal Features of Human Superficial White Matter from Three-Dimensional Multibeam Serial Electron Microscopy Data Assisted by Deep Learning
- Tian Q*, Ngamsombat C, Lee H, Berger DR, Wu Y, Fan Q, Bilgic B, Li ZY, Novikov DS, Fieremans E, Rosen BR, Lichtman JW, Huang SY
- NeuroImage, 2025; 313: 121212
Multi-contrast Image Super-resolution with Deformable Attention and Neighborhood-based Feature Aggregation (DANCE): Applications in Anatomic and Metabolic MRI
- Chen W, Wu S, Wang S, Li Z, Yang J, Yao H, Tian Q*, Song X*
- Medical Image Analysis, 2025; 99: 103359
2024
Bundle-specific Tractogram Distribution Estimation using Higher-order Streamline Differential Equation
- Feng Y*, Xie L, Wang J, Tian Q*, He J, Zeng Q, Gao F
- NeuroImage, 2024; 298: 120766
DIMOND: Diffusion Model Optimization with Deep Learning
- Li Z, Li Z, Bilgic B, Lee HH, Ying K, Huang SY, Liao H, Tian Q*, Sheft M, Coronado-Leija R, Ramos-Llorden G, Fieremans E, Novikov DS, Huang SY
- Advanced Science, 2024; 11: e2307965
- Lee HH*, Tian Q*, Sheft M, Coronado-Leija R, Ramos-Llorden G, Fieremans E, Novikov DS, Huang SY
- NMR in Biomedicine, 2024; e5087
2023
- Li Z, Fan Q, Bilgic B, Wang G, Polimeni JR, Huang SY, Tian Q*
- Medical Image Analysis, 2023; 86: 102744
2022
- Thaler C#*, Tian Q#*, Wintermark M, Ghanouni P, Halpern CH, Henderson JM, Airan RD, Zeineh M, Goubran M, Leuze C, Fiehler J, Pauly KB, McNab JA
- Brain Connectivity, 2022; 13(1): 28-38
- Cho J, Liao C, Tian Q*, Zhang Z, Xu J, Lo W, Poser BA, Stenger VA, Stockmann J, Setsompop K, Bilgic B
- Magnetic Resonance in Medicine, 2022; 88 (3): 1180-1197
- Tian Q*, Li Z, Fan Q, Polimeni JR, Bilgic B, Salat DH, Huang SY
- NeuroImage, 2022; 253: 119033
- Tian Q, Fan Q, Witzel T, Polackal MN, Ohringer NA, Ngamsombat C, Russo AW, Machado N, Brewer K, Wang F, Setsompop K, Polimeni JR, Keil B, Wald LL, Rosen BR, Klawiter EC, Nummenmaa A, Huang SY
- Scientific Data, 2022; 9(1): 7
- Li ZY, Tian Q*, Ngamsombat C, Cartmell S, Conklin J, Filho ALMG, Lo W, Wang G, Ying K, Setsompop K, Fan Q, Bilgic B, Cauley S, Huang SY
- Medical Physics, 2022; 49: 1000-1014
2021
- Tian Q*, Zaretskaya N, Fan Q, Ngamsombat C, Bilgic B, Polimeni JR, Huang SY
- NeuroImage, 2021; 233: 117946
- Tian Q*, Bilgic B, Fan Q, Zaretskaya N, Fultz NE, Ohringer NA, Chaudhari AS, Hu Y, Ngamsombat C, Witzel T, Setsompop K, Polimeni JR, Huang SY
- Cerebral Cortex, 2021; 31 (1): 463-482
2020
- Tian Q*, Bilgic B, Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY
- NeuroImage, 2020; 219: 117017
2019
- Tian Q*, Yang G, Leuze CWU, Rokem A, Edlow BL, McNab JA
- NeuroImage, 2019; 189: 497-515
2018
- Tian Q*, Wintermark M, Elias WJ, Ghanouni P, Halpern CH, Henderson JM, Huss DS, Goubran M, Thaler C, Airan R, Zeineh M, Pauly KB, McNab JA
- NeuroImage: Clinical, 2018; 19: 572-580
2016
- Tian Q*,, Rokem A, Folkerth RD, Nummenmaa A, Fan Q, Edlow BL, McNab JA
- Magnetic Resonance in Medicine, 2016; 76 (6): 1750-1763
2015
- Tian Q, Blasinski H, Lansel SP, Jiang H, Fukunishi M, Farrell JE, Wandell BA
- Proceedings of the International Society for Optics and Photonics (SPIE), 2015; 9404: 940403
2014
- Tian Q, Lansel SP, Farrell JE, Wandell BA
- Proceedings of the International Society for Optics and Photonics (SPIE), 2014; 9023: 90230K
2012
- Tian Q, Duan J, Qiu G
- Proceedings of the 19th IEEE International Conference on Image Processing (ICIP), 2012; 377-380
合作论文
共同作者期刊论文
（#共同一作, *通讯作者）
2026
Developmental Characteristics of Spontaneous Activity and Functional Connectivity in the Fetal Thalamus
- Liu J, Zhang Y, Chen L, Qiu L, Zhang H, Zhang Y, Luo L, Liao Y, Ouyang M, Yi X, Ning G, Yang H, Tian Q, Qu H
- Cerebral Cortex, 2026; 26(4): bhag036
Revealing Membrane Integrity in Human Brain using Oscillating-Gradient Diffusion Sequence in Two Frequency-Varying Regimes
- Sung D, Chan K, Gerold J, Zhong W, Zheng J, Tian Q, Guo H, Huang SY, Lee HH
- Magnetic Resonance in Medicine, 2026; 95 (6): 3429-3444
In Vivo Meso-Scale Whole-Brain Quantitative Imaging with Tailored MRF on the NexGen 7T Scanner
- Cao X, Beckett A, Liao C, Walker E, Zhu Z, Qian Y, Gao M, Wang N, Lin Y, Gong L, McCready MA, Wang Z, Li Z, Vu A, Ma S, Ramos-Llorden G, Tian Q, Kerr A, Yang Y, Feinberg DA, Setsompop K
- Magnetic Resonance in Medicine, 2026; 95 (5): 2611-2626
DeepMdMRI: Tensor-decomposition Regularized Learning for Fast and High-fidelity Multi-parametric Microstructural MR Imaging
- Fan W, Cheng J, Tian Q, Li C, Ma X, Yang J, Zou J, Wu R, Chen Z, Feng Y, Zheng H, Wang S
- Medical Physics, 2026; 53 (3): e70359
Age-related Alterations of Hippocampal Microstructure Quantified using Diffusion MRI in an Unfolded Hippocampal Space
- Ma Y, Lee H, Chan KS, Eskandarian L, Gaudet K, Tian Q, Bhatt A, Gerold J, Bhatt A, Russo AW, Salat DH, Klawiter EC, Huang SY, Lee HH
- Aging Cell, 2026; 25(1): e70274
Ultra-high Gradient Connectomics and Microstructure MRI Scanner for Imaging of Human Brain Circuits across Scales
- Ramos-Llordén G, Lee HH, Davids M, Dietz P, Krug A, Kirsch JE, Mahmutovic M, Müller A, Ma Y, Lee H, Maffei C, Yendiki A, Bilgic B, Park DJ, Tian Q, Clifford B, Lo WC, Stocker S, Fischer J, Ruyters G, Roesler M, Potthast A, Benner T, Rummert E, Schuster R, Basser PJ, Witzel T, Wald LL, Rosen BR, Keil B, Huang SY
- Nature Biomedical Engineering, 2026; 10 (2): 309-324
2025
Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset
- Wang S, Yu S, Cheng J, Jia S, Tie C, Zhu J, Peng H, Dong Y, He J, Zhang F, Xing Y, Jia X, Yang Q, Tian Q, Guo H, Li G, Zheng H
- Scientific Data, 2025; 12: 1352
In Vivo Cortical Microstructure Mapping Using High-Gradient Diffusion MRI Accounting for Intercompartmental Water Exchange Effects
- Dong T, Lee HH, Zang H, Lee H, Tian Q, Wan L, Fan Q, Huang SY
- NeuroImage, 2025; 314: 121258
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain
- Huang GB, Westover MB, Tan EK, Wang H, Cui D, Ma WY, Wang T, He Q, Wei H, Wang N, Tian Q, Lam KY, Yao X, Wang TY
- Neurocomputing, 2025; 619: 129053
2024
Individualized White Matter Connectivity of the Articulatory Pathway: An Ultra-high Field Study
- Lee H, Lee HH, Ma Y, Eskandarian L, Gaudet K, Tian Q, Krijnen EA, Russo AW, Capuano LG, Salat DH, Klawiter EC, Huang SY
- Aging Cell, 2024; 23: e14267
Individualized White Matter Connectivity of the Articulatory Pathway: An Ultra-high Field Study
- Lankinen K, Wang R, Tian Q, Wang QM, Perry BJ, Green JR, Kimberley TJ, Ahveninen J, Li S
- Brain and Language, 2024; 250: 105391
A Twin Study of Altered White Matter Heritability in Youth with Autism
- Hegarty JP#, Monterrey JC#, Tian Q, Lazzeroni LC, Cleveland SC, Gong X, Phillips JM, Wolke ON, McNab JA, Hallmayer JF, Reiss AL, Hardan AY
- Journal of the American Academy of Child and Adolescent Psychiatry, 2024; 63 (1): 65-79
2023
Role of Articulatory Motor Networks in Perceptual Categorization of Speech Signals: a 7T fMRI Study
- Lankinen K, Ahveninen J, Uluç I, Daneshzand M, Mareyam A, Kirsch J, Polimeni J, Healy BC, Tian Q, Khan S, Nummenmaa A, Wang Q, Green JR, Kimberley TJ, Li S
- Cerebral Cortex, 2023; 33 (15): 11517-11525
Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies
- Aja-Fernández S, Martín-Martín C, Planchuelo-Gómez Á, Faiyaz A, Uddin MN, Schifitto G, Tiwari A, Shigwan SJ, Singh RK, Zheng T, Cao Z, Wu D, Blumberg SB, Sen S, Goodwin-Allcock T, Slator PJ, Avci MY, Li Z, Bilgic B, Tian Q, Wang X, Tang Z, Cabezas M, Rauland A, Merhof D, Maria RM, Campos VP, Santini T, Vieira MAC, HashemizadehKolowri S, DiBella E, Peng C, Shen Z, Chen Z, Ullah I, Mani M, Abdolmotalleby H, Eckstrom S, Baete SH, Filipiak P, Dong T, Fan Q, Luis-García R, Tristán-Vega A, Pieciak T
- NeuroImage: Clinical, 2023; 39: 103483
High-fidelity Mesoscale In-vivo Diffusion MRI through gSlider-BUDA and Circular EPI with S-LORAKS Reconstruction
- Liao C, Yarach U, Cao X, Iyer SS, Wang N, Kim TH, Tian Q, Bilgic B, Kerr AB, Setsompop K
- NeuroImage, 2023; 275: 120168
Axonal and Myelin Changes and Their Inter-relationship in the Optic Radiations in People with Multiple Sclerosis
- Krijnen EA, Ngamsombat C, George I, Yu F, Fan Q, Tian Q, Huang SY, Klawiter EC
- Multiple Sclerosis Journal: Experimental, Translational and Clinical, 2023; 9(1): 20552173221147620
Synergistic 3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping
- Chen Z, Liao C, Cao X, Poser B, Xu Z, Lo WC, Wen M, Cho J, Tian Q, Wang Y, Feng Y, Xia L, Chen W, Liu F, Bilgic B
- Magnetic Resonance in Medicine, 2023; 89 (5), 1961-1974
2022
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction
- Cho J, Gagoski B, Kim TH, Tian Q, Frost SR, Chatnuntawech I, Bilgic B
- Bioengineering, 2022; 9 (12): 736
High-fidelity, High-spatial-resolution Diffusion MRI of the Ex-vivo Whole Human Brain on the 3T Connectome Scanner using Structured Low-rank EPI Ghost Correction
- Ramos-Llordén G, Lobos RA, Kim TH, Tian Q, Witzel T, Lee HH, Keil B, Yendiki A, Bilgic B, Haldar JP, Huang SY
- NMR in Biomedicine, 2022; 36 (2): e4831
Static and Dynamic BOLD fMRI Components along White Matter Fibre Tracts and Their Dependence on the Orientation of the Local Diffusion Tensor Axis Relative to the B0-Field
- Viessmann O, Tian Q, Bernier M, Polimeni JR
- Journal of Cerebral Blood Flow and Metabolism, 2022; 42 (10): 1905-1919
Estimating Axial Diffusivity in the NODDI Model
- Howard AFD, Cottaar C, Drakesmith M, Fan Q, Huang SY, Jones DK, Lange FJ, Mollink J, Rudrapatna SU, Tian Q, Miller KL, Jbabdi S
- NeuroImage, 2022; 262: 119535
2021
Dissecting Whole-brain Conduction Delays through MRI Microstructural Measures
- Mancini M, Tian Q, Fan Q, Cercignani M, Huang SY
- Brain Structure and Function. 2021; 226: 2651-2663
Scan-Rescan Repeatability of Axonal Metrics using High-Gradient Diffusion MRI and Implications for Study Design
- Fan Q, Polackal NM, Tian Q, Ngamsombat C, Nummenmaa A, Witzel T, Klawiter EC, Huang SY
- NeuroImage. 2021; 240: 118323
A 48-channel Receive Array Coil for Mesoscopic Diffusion-weighted MRI of Human Ex Vivo Brain Imaging at the 3T Connectome Scanner
- Scholz A, Etzel R, May MW, Mahmutovic M, Tian Q, Llorden GR, Bilgic B, Witzel T, Stockmann JP, Mekkaoui C, Wald LL, Huang SY, Yendiki A, Keil B
- NeuroImage, 2021; 238: 118256
Evaluation of Ultrafast Wave-CAIPI 3D FLAIR in the Visualization and Volumetric Estimation of Cerebral White Matter Lesions
- Ngamsombat C, Filho ALMG, Longo MGF, Cauley SF, Setsompop K, Kirsch JE, Tian Q, Fan Q, Polak D, Liu W, Lo W, González RG, Schaefer PW, Rapalino O, Conklin J, Huang SY
- American Journal of Neuroradiology, 2021; 42 (9) 1584-1590
In Vivo Human Whole-brain Connectom Diffusion MRI Dataset at 760 μm Isotropic Resolution
- Wang F, Dong Z, Tian Q, Liao C, Fan Q, Hoge WS, Ngamsombat C, Keil B, Polimeni JR, Wald LL, Huang SY, Setsompop K
- Scientific Data, 2021; 8 (1): 1-12
Distortion-free, High-isotropic-resolution Diffusion MRI with gSlider BUDA-EPI and Multi-coil Dynamic B0 Shimming
- Liao C, Bilgic B, Tian Q, Stockmann J, Cao X, Fan Q, Iyer SS, Wang F, Ngamsombat C, Lo WC, Manhard MK, Huang SY, Wald LL, Setsompop K
- Magnetic Resonance in Medicine, 2021; 86 (2): 791-803
Comparison of Diffusion MRI and CLARITY Fiber Orientation Estimates in Both Gray and White Matter Regions of Human and Primate Brain
- Leuze CWU#, Goubran M#, Barakovic M#, Aswendt M, Tian Q, Hsueh B, Crow A, Weber E, Steinberg G, Zeineh M, Plowey ED, Daducci A, Innocenti G, Thiran J-P, Deisseroth K, McNab JA
- NeuroImage, 2021; 228: 117692.
RUN-UP: Accelerated Multi-shot Diffusion-weighted MRI Reconstruction using an Unrolled Network with U-Net as Priors
- Hu Y, Xu Y, Tian Q, Chen F, Shi X, Moran CJ, Daniel BL, Hargreaves BA
- Magnetic Resonance in Medicine, 2021; 85 (2): 709-720
2020
Axon Diameter Index Estimation Independent of Fiber Orientation Distribution using High-gradient Diffusion MRI
- Fan Q, Nummenmaa A, Witzel T, Ohringer N, Tian Q, Setsompop K, Klawiter EC, Rosen BR, Wald LL, Huang SY
- NeuroImage, 2020; 222: 117197
Evaluation of Ultrafast Wave-CAIPI MPRAGE for Visual Grading and Automated Measurement of Brain Tissue Volume
- Longo MGF, Conklin J, Cauley SF, Setsompop K, Tian Q, Polak D, Splitthoff D, Liu W, González RG, Schaefer PW, Kirsch JE, Rapalino O, Huang SY
- American Journal of Neuroradiology, 2020; 41 (8): 1388-1396
Localizing Central Swallowing Functions by Combining Non-invasive Brain Stimulation with Neuroimaging
- Li S, Eshghi M, Khan S, Tian Q, Joutsa JT, Ou Y, Wang Q, Kong J, Rosen BR, Ahveninen J, Nummenmaa A
- Brain Stimulation, 2020; 13 (5): 1207-1210
Axonal Damage in the Optic Radiation Assessed by White Matter Tract Integrity Metrics is Associated with Retinal Thinning in Multiple Sclerosis
- Ngamsombat C, Tian Q, Fan Q, Russo A, Machado N, Polackal M, George IC, Witzel T, Klawiter EC, Huang SY
- NeuroImage: Clinical, 2020; 27: 102293
Resting-state "Physiological Networks"
- Chen JE, Lewis LD, Chang C, Tian Q, Fultz NE, Ohringer NA, Rosen BR, Polimeni JR
- NeuroImage, 2020; 213: 116707
Multi-shot diffusion-weighted MRI reconstruction with magnitude-based spatial-angular locally low-rank regularization (SPA-LLR)
- Hu Y, Wang X, Tian Q, Yang G, Daniel B, McNab JA, Hargreaves BA
- Magnetic Resonance in Medicine, 2020; 83 (5): 1596-1607
High-fidelity, High-isotropic-resolution Diffusion Imaging through gSlider Acquisition with B1+ and T1 Corrections and Integrated ΔB0/Rx Shim Array
- Liao C, Stockmann J, Tian Q, Bilgic B, Arango NS, Manhard MK, Huang SY, Grissom WA, Wald LL, Setsompop K
- Magnetic Resonance in Medicine, 2020; 83 (1): 56-67
High-gradient Diffusion MRI Reveals Distinct Estimates of Axon Diameter Index within Different White Matter Tracts in the In Vivo Human Brain
- Huang SY, Tian Q, Fan Q, Witzel T, Wichtmann B, McNab JA, Bireley JD, Machado N, Klawiter EC, Mekkaoui C, Wald LL, Nummenmaa A
- Brain Structure and Function, 2020; 225 (4): 1277-1291
2019
Multimodal Image Registration and Connectivity Analysis for Integration of Connectomic Data from Microscopy to MRI
- Goubran M#, Leuze CWU#, Hsueh B#, Aswendt M#, Ye L, Tian Q, Cheng MY, Crow A, Steinberg GK, McNab JA, Deisseroth K, Zeineh M
- Nature Communications, 2019; 10 (1): 5504
Imaging G-Ratio in Multiple Sclerosis using High-Gradient Diffusion MRI and Macromolecular Tissue Volume
- Yu F, Fan Q, Tian Q, Ngamsombat C, Machado N, Bireley JD, Russo A, Nummenmaa A, Witzel T, Wald LL, Klawiter EC, Huang SY
- American Journal of Neuroradiology, 2019; 40 (11): 1871-1877
Highly Accelerated Multishot Echo Planar Imaging through Synergistic Machine Learning and Joint Reconstruction
- Bilgic B, Chatnuntawech I, Manhard MK, Tian Q, Liao C, Cauley SF, Huang SY, Polimeni JR, Wald LL, Setsompop K
- Magnetic Resonance in Medicine, 2019; 82 (4): 1343-1358
Multimodal Characterization of the Human Nucleus Accumbens
- Cartmell SCD, Tian Q, Thio BJ, Leuze C, Ye L, Williams NR, Yang G, Ben-Dor G, Deisseroth K, Grill WM, McNab JA, Halpern CH
- NeuroImage, 2019; 198: 137-149
Phase-matched Virtual Coil Reconstruction for Highly Accelerated Diffusion Echo-Planar Imaging
- Liao C, Manhard MK, Bilgic B, Tian Q, Fan Q, Han S, Wang F, Park DJ, Witzel T, Zhong J, Wang H, Wald LL, Setsompop K
- NeuroImage, 2019; 194: 291-302
Age-related Differences in Apparent Axon Diameter and Axon Density in the Corpus Callosum Measured by High-gradient Diffusion MRI
- Fan Q, Tian Q, Ohringer NA, Nummenmaa A, Witzel T, Tobyne SM, Klawiter EC, Rosen BR, Wald LL, Salat DH, Huang SY
- NeuroImage, 2019; 191: 325-336
Motion Robust Reconstruction of Multi-shot Diffusion-weighted Images without Phase Estimation via Locally Low-rank Regularization
- Hu Y, Levine EG, Tian Q, Moran C, Wang X, Taviani V, Vasanawala S, McNab JA, Daniel BL, Hargreaves BA
- Magnetic Resonance in Medicine, 2019; 81 (2): 1181-1190
2018
Double Diffusion Encoding MRI for the Clinic
- Yang G, Tian Q, Leuze CWU, Wintermark M, McNab JA
- Magnetic Resonance in Medicine, 2018; 80 (2): 507-520
2017
Learning the Image Processing Pipeline
- Jiang H, Tian Q, Farrell JE, Wandell BA
- IEEE Transaction on Image Processing, 2017; 26 (10): 5032-5042
The Separate Effects of Lipids and Proteins on Brain MRI Contrast Revealed Through Tissue Clearing
- Leuze CWU, Aswendt M, Ferenczi E, Liu CW, Hsueh B, Goubran M, Tian Q, Steinberg G, Zeineh M, Deisseroth K, McNab JA
- NeuroImage, 2017; 156: 412-422
2016
Wiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences
- Ye L#, Allen WE#, Thompson KR#, Tian Q, Hsueh B, Ramakrishnan C, Wang AC, Jennings J, Adhikari A, Halpern CH, Witten IB, Barth AL, Luo L, McNab JA, Deisseroth K
- Cell, 2016; 165 (7): 1776-1788. (期刊封面)
Local Linear Approximation for Camera Image Processing Pipelines
- Jiang H, Tian Q, Farrell JE, Wandell BA
- Proceedings of the Society for Imaging Science and Technology (IS&T), 2016; 1-4(4)
Efficient Illuminant Correction in the Local, Linear, Learned (L3) Method
- Germain FG, Akinola IA, Tian Q, Lansel SP, Wandell BA
- Proceedings of the International Society for Optics and Photonics (SPIE), 2015; 9404: 940404
会议发表
口头报告会议论文及摘要
（第一和通讯作者）
2026
Maximizing Domain Generalization in Automated Fetal Brain Biometry
- Li Y, Liu M, Yang H, Tian Q
- China Biomedical Engineering Conference & Medical Innovation Summit, 2026
Simple Baselines for Fetal Brain Unsupervised Anomaly Detection
- Yang H, Liu M, Hao Y, Liao Y, Qu H, Tian Q
- China Biomedical Engineering Conference & Medical Innovation Summit, 2026
Annotation-Free Deep Learning for Automated Detection and Segmentation of Fetal Germinal Matrix-Intraventricular Hemorrhage in Brain MRI
- Liu M, Hao Y, Li H, Yang H, Qu H, Tian Q
- China Biomedical Engineering Conference & Medical Innovation Summit, 2026
Preoperative CTA-based Deep Learning Model for Predicting AKI After TEVAR in Type B Aortic Dissection
- Bai X, Liu M, Zhang M, Yang H, Wang Z, Luo Y, Zhou Y, Han X, Tian Q
- China Biomedical Engineering Conference & Medical Innovation Summit, 2026
SSCU: Self-Supervised Deep Learning via Coil Undersampling for Model-based MRI Reconstruction
- Song T, Li Z, Tian Q*, Wu W, Li Z*
- The Annual Meeting of ISMRM, 2026
BioTTA: Maximizing Domain Generalization in Automatic Fetal Brain Biometry with Test-Time Adaptation
- Li Y, Liu M, Yang H, Hu X, Liao Y, Anmahapong K, Wang Z, Zhu J, Hao Y, Chen Y, Li H, Li Z, Jia F, Qu H, Tian Q
- The Annual Meeting of ISMRM, 2026
Test-time Optimization for Cortical Surface Reconstruction across Image Resolutions/contrasts using Untrained Neural Networks
- Li H, Liu M, Varadarajan D, Hu Z, Tian Q*, Polimeni J
- The Annual Meeting of ISMRM, 2026
AlignPET: Structure-Aligned MRI-to-PET Synthesis via Variational Autoregression Model for Ischemic Brain Lesions
- Chen Y, Zhou G, Wang Y, Liu M, Bai X, Zheng J, Cui B, Jie Lu, Tian Q
- The Annual Meeting of ISMRM, 2026
INSTA: Implicit Neural Spatio-Temporal Atlas from Thick-Slice Clinical Fetal Brain MRI
- Hu X, Liu M, Yang H, Li Y, Hao Y, Li H, Chen Y, Li Z, Zhu J, Liao Y, Ning G, Qu H, Tian Q
- ISMRM Workshop on Unlocking the Potential of Prenatal MRI: Advances in Fetal Brain, Heart & Placenta Imaging, 2026
View-Conditioned Collaborative Learning for Semi-Supervised Fetal Cardiac Ultrasound Analysis
- Gao Z, Zhang C, Liu M, Chen Y, Hu X, Tian Q
- International Symposium on Biomedical Imaging (ISBI), 2026
2025
WARPNet: Scale-wise Autoregressive Cross-modal Synthesis for Accurate and Detail-preserving MRI-to-PET Generation
- Zhou G, Chen Y, Ying G, Liu M, Bai X, Zheng J, Cui B, Tian Q*, Lu J*
- IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025
Multi-input Attention Fusion Network for Neural ODE-based Fetal Cortical Surface Reconstruction
- Li H, Liu M, Bai X, Liao Y, Zheng J, Yang H, Li Z, Qu H, Tian Q
- AI for Children Workshop of International Conference on Learning Representations (ICLR), 2025
FetalExtract-LLM: Structured Information Extraction in Free-Text Fetal MRI Reports Based on Privacy-Ensuring Open-weights Large Language Models
- Liu M, Li Y, Zhu J, Yang H, Huang Y, Li H, Chen Y, Bai X, Liao Y, Qu H, Tian Q
- MICCAI Workshop on Perinatal, Preterm and Paediatric Image Analysis (PIPPI), 2025
HUMMID: High-fidelity Ultra-fast Macrostructure and Microstructure Brain Imaging using Deep Learning
- He Y, Zheng J, Yang H, Chen Y, Li Z, Liu M, Fan Q, Liao Y, Qu H, Tian Q, Lu J, Li Z
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2025
Functional Hand Motor Cortex Is Not Always on Anatomical “Handknob”
- Wang Z, Zheng J, Li Z, Yang H, McNab J, He Z, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2025
Super-resolution Pediatric MRI with Accelerated Noisy Reference Data for Training Neural Network
- Zhang M, Yang H, Xiao J, He Y, Liu W, Zheng J, Li Z, Yin T, Liu W, Li Z, Liao Y, Qu H, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2025
Automated Reconstruction and Segmentation of Volumetric Isotropic-resolution Fetal Body MRI Data for Quantitative Hydronephrosis Analysis
- Huang J, Zhu J, Li H, Yang H, Li Y, Liu M, Zheng J, Jia F, Liao Y, Qu H, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2025
Volume Reconstruction from Single MRI Thick-slice Stack with Deep Learning for Fetal Brain
- Yang H, Liu M, Liao Y, Zhu J, Li H, Li Z, Zhang J, Zheng J, Li Z, Qu H, Tian Q
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2025
ω-DAE: Unsupervised Anomaly Detection for Fetal Brain MRI using Two-stage Denoising Autoencoder
- Hao Y, Liu M, Zhu J, Yang H, Liao Y, Qu H, Tian Q
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2025
Unsupervised Fetal Brain MRI Quality Assessment based on Orientation Prediction Uncertainty
- Liu M, Li H, Li Z, Yang H, Zheng J, Qu H, Tian Q
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2025
Quantification of Human Brain White Matter Myelination using ViSTa MRI Fingerprinting
- Zheng J, Yang C, Zhong W, Li H, Wang Z, Cao X, Liao C, Tian Q
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2025
FetalSR: Super-resolving High-isotropic-resolution Image Volume from Single Thick-slice Stack with Deep Learning for Fetal Brain Morphometry
- Yang H, Liu M, Liao Y, Li H, Zhu J, Li Z, Zhang J, Zheng J, Li Z, Qu H, Tian Q
- The Annual Meeting of ISMRM, 2025
DIMOND++: Improving Diffusion Model Optimization using Diffusion Priors
- Li Z, Zheng J, Li Z, Wang Z, Liu M, Ning G, Liao H, Tian Q
- The Annual Meeting of ISMRM, 2025 (口头报告)
DeepEddy: High-quality Fast Eddy Current and Bulk Motion Correction using Deep Learning-based Image Synthesis and Co-registration
- Zhang J, Lange F, Andersson J, Zheng J, Jing Y, Yang H, Liu M, Li Z, Wu W, Tian Q*
- The Annual Meeting of ISMRM, 2025 (口头报告)
DiffKAN: Convolutional Kolmogorov-Arnold Networks for Improved Diffusion MRI Microstructural Modeling
- Chen Y, Li Z, Wang Y, Li Z, Zheng J, Yang H, Liu M, Tian Q
- The Annual Meeting of ISMRM, 2025
High-fidelity Ultra-fast Diffusion Tensor Imaging in Stroke Patients Using Transfer Learning
- Jing Y, Li Z, Yu Y, Zhou J, Li Z, Zheng J, Yang H, Liu M, Wu W, Tian Q
- The Annual Meeting of ISMRM, 2025
Revealing Diffusion Frequency-Dependence in Surface-to-Volume Ratio Limit using OGSE Sequence on the Connectome 2.0 Scanner
- Zheng J, Zhong W, Sung D, Gerold J, Tian Q, Guo H, Huang SY, Lee HH
- The Annual Meeting of ISMRM, 2025
Impacts of Diffusion MRI Spatial Resolution on the Short-range Association Fiber Reconstruction and Connectivity Estimation
- Zheng J, Yang C, Zhong W, Wang Z, Li H, Li Z, Liu M, Yang H, Cao X, Liao C, Salat DH, Huang SY, Tian Q
- The Annual Meeting of ISMRM, 2025
FreeHemoSeg: Label-Free Deep Learning Framework for Automated Segmentation of Fetal Brain Germinal Matrix and Intraventricular Hemorrhage
- Liu M, Liao Y, Zhu J, Li H, Yang H, Zheng J, Li ZH, Li ZY, Qu H, Tian Q
- The Annual Meeting of ISMRM, 2025
Negative Impacts of Germinal Matrix-Ventricular Hemorrhage on Prenatal and Postnatal Brain Development
- Li H, Liao Y, Zhu J, Liu M, Zheng J, Yang H, Li Z, Li Z, Tian Q, Qu H
- The Annual Meeting of ISMRM, 2025
CortexKAN: Multi-input KAN for fetal cortical surface reconstruction
- Li H, Liu M, Liao Y, Zhu J, Zheng J, Yang H, Li Z, Qu H, Tian Q
- The Annual Meeting of ISMRM, 2025
FetalSFUDA: Source-Free Unsupervised Domain Adaptation for Fetal Brain Extraction from Different Centers or MRI Sequences
- Li Y, Liu M, Zhu J, Yang H, Zheng J, Li Z, Liao Y, Qu H, Tian Q
- The Annual Meeting of ISMRM, 2025
Effect of Diffusion MRI Acquisition and Nominal Spatial Resolutions on Fiber Reconstruction and Connectivity Estimation
- Zheng J, Yang C, Zhong W, Wang Z, Li H, Li Z, Liu M, Yang H, Cao X, Liao C, Salat DH, Huang SY, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2025 (口头报告)
BrainSFUDA: Fetal Brain Extraction from Diffusion-weighted MR Images using Source-free Unsupervised Domain Adaption
- Li Y, Liu M, Zhu J, Yang H, Zheng J, Li Z, Liao Y, Qu H, Tian Q
- ISMRM Workshop on 40 years of Diffusion: Past, Present & Future Perspectives, 2025 (口头报告)
DiffKAN: Convolutional Kolmogorov-Arnold Networks for Improved Diffusion MRI Microstructural Modeling
- Chen Y, Li Z, Wang Y, Li Z, Zheng J, Yang H, Liu M, Tian Q
- ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives, 2025
2024
Detecting Fetal Germinal Matrix and Intraventricular Hemorrhage in Brain MRI using Label-free Deep Learning
- Liu M, Li H, Zhu J, Zheng J, Yang H, Li Z, Li Z, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2024 (口头报告)
Improving Microstructure Quantification using Self-supervised and Physics-informed Deep Learning
- Li Z, Zheng J, Li Z, Jing Y, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2024
Image Quality Assessment using an Orientation Recognition Network for Fetal MRI
- Liu M, Li H, Li Z, Yang H, Zheng J, Zhang X, Tian Q
- The Annual Meeting of ISMRM, 2024 (口头报告)
Short-term White Matter Microstructural Changes in Young Adults Infected with SARS-COV-2 Omicron Variant
- Zheng J, Liu J, Yang C, Yang H, Li Z, Li H, Ding H, Zhao X, Tian Q
- The Annual Meeting of ISMRM, 2024
Accurate and Efficient Co-registration of Diffusion and T1-weighted MRI using Self-supervised Deep Learning
- Chen K, Li Z, Li Z, Tian Q
- The Annual Meeting of ISMRM, 2024
Universal Microstructural Model Solver for Diffusion MRIs
- Li Z, Li Z, Bilgic B, Lee H, Ying K, Huang S, Liao H, Tian Q
- The Annual Meeting of ISMRM, 2024
Denoising Intrinsic MRI Repetitions using Self-supervised Iterative Residual Learning
- Li Z, Bilgic B, Li Z, Ying K, Salat D, Polimeni J, Liao H, Huang S, Tian Q
- The Annual Meeting of ISMRM, 2024
FetalSurfer: Automated Fetal Cortical Surface Reconstruction
- Li Z, Bilgic B, Li Z, Ying K, Salat D, Polimeni J, Liao H, Huang S, Tian Q
- The Annual Meeting of ISMRM, 2024
Detecting Silent Lesions in Hypoxic-ischemic Encephalopathy using Submillimeter Isotropic Resolution Diffusion MRI
- Xu R, Liao Y, Sun Y, Zhu J, Chen X, Qu H, Tian Q
- The Annual Meeting of ISMRM, 2024
2023
Improved Co-registration of Diffusion and T1-weighted MRI using Unsupervised Deep Learning
- Chen K, Li Z, Li Z, Tian Q
- The AI Health Summit, Singapore, 2023
High-fidelity Low-field Brain MRI using a Self-supervised Denoising Network
- Xu R, Li Z, Li Z, Hou W, Luo H, Wu Z, Guo H, Tian Q
- The AI Health Summit, Singapore, 2023
Label-free Image Quality Assessment of Fetal Brain MRI with Unsupervised Deep Learning
- Liu M, Li H, Liao Y, Qu H, Tian Q
- The AI Health Summit, Singapore, 2023
Brain Age Prediction based on MRI Multiscale Features Fusion
- Yang H, Liu L, Li Z, Li Z, Liao Y, Qu H, Ji JS, Tian Q
- The AI Health Summit, Singapore, 2023
Automated Reconstruction and Segmentation of High-isotropic-resolution Fetal Brain MRI Data for Quantitative Brain Morphological Analysis using Deep Model
- Li H, Zhu J, Qu H, Yang H, Li Z, Li Z, Liao Y, Tian Q
- The AI Health Summit, Singapore, 2023
Automated Reconstruction and Segmentation of High-isotropic-resolution Fetal Brain MRI Data for Quantitative Brain Morphological Analysis
- Li H, Zhu J, Qu H, Yang H, Li Z, Li Z, Liao Y, Tian Q
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2023
SRNR: Training Neural Networks for Super-resolution MRI using Noisy High-resolution Reference Data
- Xiao J, Li Z, Bilgic B, Polimeni JR, Huang SY, Tian Q
- The Annual Meeting of ISMRM, 2023 (口头报告)
DIMOND: Diffusion Model Optimization with Deep Learning
- Li Z, Bilgic B, Lee HH, Ying K, Liao H, Huang SY, Tian Q
- The Annual Meeting of ISMRM, 2023
Improving the Feasibility of Deep Learning based Super-resolution MRI using Noisy High-resolution Reference Data (SRNR)
- Xiao J, Li Z, Bilgic B, Polimeni JR, Huang SY, Tian Q
- The Workshop on Data Sampling & Image Reconstruction of ISMRM, 2023
2022
Improved Co-registration of Diffusion and T1-weighted MRI Data Assisted by Deep Learning-based Image Synthesis
- Li ZY, Fan Q, Bilgic B, Wang G, Wu W, Polimeni JR, Miller KL, Huang SY, Tian Q
- The Workshop on Diffusion MRI: From Research to Clinic of ISMRM, 2022
Quantifying the Uncertainty of Neural Networks using Monte Carlo Dropout for Safer and More Accurate Deep Learning-based Quantitative MRI
- Avci MY, Li Z, Fan Q, Huang SY, Bilgic B, Tian Q
- The Annual Meeting of ISMRM, 2022 (口头报告)
Diffusion MRI Data Analysis using Brain Segmentation from Anatomical Images Synthesized from Diffusion Data by Deep Learning (DeepAnat)
- Li Z, Fan Q, Bilgic B, Wang G, Polimeni JR, Huang SY, Tian Q
- The Annual Meeting of ISMRM, 2022 (口头报告)
Noise2Average: Deep Learning based Denoising without High-SNR Training Data using Iterative Residual Learning
- Li Z, Bilgic B, Li Z, Ying K, Polimeni JR, Huang S, Tian Q
- The Annual Meeting of ISMRM, 2022 (口头报告)
Improving the Accessibility of Deep Learning-based Denoising for MRI using Transfer Learning and Self-supervised Learning
- Tian Q, Li Z, Lo W, Bilgic B, Polimeni JR, Huang SY
- The Annual Meeting of ISMRM, 2022 (口头报告)
2021
SRDTI: Deep Learning-based Super-resolution for Diffusion Tensor MRI
- Tian Q, Li Z, Qiuyun Fan Q, Ngamsombat C, Hu Y, Liao C, Wang F, Setsompop K, Polimeni JR, Bilgic B, Huang SY
- The Annual Meeting of ISMRM, 2021
HDnGAN: High-fidelity Ultrafast Volumetric Brain MRI using a Hybrid Denoising Generative Adversarial Network
- Li Z, Tian Q*, Ngamsombat C, Cartmell S, Conklin J, Filho ALMG, Lo W, Wang G, Ying K, Setsompop K, Fan Q, Bilgic B, Ying K, Cauley S, Huang SY
- The Annual Meeting of ISMRM, 2021 (口头报告，优秀论文奖)
2020
High-fidelity Super-resolution Diffusion Tensor Imaging using Deep Learning
- Li Z, Tian Q*, Ngamsombat C, Bilgic B, Fan Q, Huang SY
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2020 (口头报告)
Synergistic Super-resolution Brain MRI and Tissue Segmentation using Multitask Deep Learning
- Li Z, Tian Q, Ngamsombat C, Bilgic B, Fan Q, Ying K, Huang SY
- The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2020
DeepDTI: Six-direction Diffusion Tensor MRI using Deep Learning
- Tian Q, Bilgic B, Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY
- The Annual Meeting of ISMRM, 2020 (口头报告，卓越论文奖)
Return-to-origin Probability from Single-shell and Multi-shell Diffusion MRI Data Correlates with Normal Aging
- Tian Q, Fan Q, Stephens KA, Ngamsombat C, Polackal M, Edlow BE, McNab JA, Salat D, Huang SY
- The Annual Meeting of ISMRM, 2020 (口头报告，卓越论文奖)
Automated Segmentation of Human Axon and Myelin from Electron Microscopy Data using Deep Learning for Microstructural Validation and Simulation
- Tian Q, Ngamsombat C, Lee H, Berger DR, Wu Y, Fan Q, Bilgic B, Novikov DS, Fieremans E, Rosen BR, Lichtman JW, Huang SY
- The Annual Meeting of ISMRM, 2020
High-fidelity Diffusion Tensor MRI with Six Diffusion-Weighted Images using Optimized Q-space Sampling and Deep Learning
- Tian Q, Bilgic B, Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY
- The Workshop on Data Sampling & Image Reconstruction of ISMRM, 2020 (口头报告)
2019
Six-direction Diffusion Tensor MRI using a Convolutional Neural Network
- Tian Q, Bilgic B, Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY
- The Annual Meeting of ISMRM, 2019
SuperSurfer: Cortical Surface Reconstruction using Super-resolution Anatomical MR Images Synthesized by Deep Learning
- Tian Q, Bilgic B, Fan Q, Ngamsombat C, Chaudhari AS, Ohringer NA, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY
- The Annual Meeting of ISMRM, 2019 (口头报告)
Creating a Diffusion Tractography-based Atlas of Human Thalamic Ventral Intermediate Nucleus Aided by Deep Learning
- Tian Q, Ngamsombat C, Bilgic B, Fan Q, Hu Y, McNab JA, Setsompop K, Polimeni JR, Huang SY
- The Annual Meeting of ISMRM, 2019 (口头报告，优秀论文奖)
A Diffusion Tractography-based Atlas of Human Thalamic Ventral Intermediate Nucleus for Neurosurgical Guidance
- Tian Q, Ngamsombat C, Bilgic B, Fan Q, Hu Y, McNab JA, Setsompop K, Polimeni JR, Huang SY
- The Annual Meeting of American Society of Neuroradiology (ASNR), 2019 (口头报告)
2018
Improving Cortical Surface Reconstruction using Super-resolution Sub-millimeter Structural MRI Data Synthesized with a Convolutional Neural Network
- Tian Q, Bilgic B, Fan Q, Ngamsombat C, Ohringer NA, Hu Y, Witzel T, Setsompop K, Wald LL, Polimeni JR, Huang SY
- The Workshop on Machine Learning (Part II) of ISMRM, 2018 (口头报告)
Diffusion MRI Tractography of Tremor Circuits using Subject-specific Brain Regions of Interest Segmented by a Convolutional Neural Network
- Tian Q, Ngamsombat C, Bilgic B, Fan Q, Ohringer NA, Hu Y, McNab JA, Witzel T, Setsompop K, Wald LL, Polimeni JR, Huang SY
- The Workshop on Machine Learning (Part II) of ISMRM, 2018
High-gradient Diffusion MRI Reveals Distinct Axon Diameter Estimates within Different White Matter Tracts in the In Vivo Human Brain
- Tian Q, Fan Q, Wichtmann B, Witzel T, McNab JA, Bireley JD, Machado N, Ohringer N, Klawiter EC, Wald LL, Nummenmaa A, Huang SY
- The Gordon Research Conference on In Vivo Magnetic Resonance, 2018
2017
In Vivo Identification of Granular Cortices by Whole-brain Cortical Diffusion MRI Analysis
- Tian Q, Leuze CWU, Wu H, Yang G, Chen J, Polimeni JR, McNab JA
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2017
A Comprehensive Analytic Solution of Diffusion Orientation Distribution Function
- Tian Q, Yang G, Leuze CWU, Rokem A, Edlow BL, McNab JA
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2025
Model-free Fourier Reconstruction of the Diffusion Propagator from Multi-b-shell Diffusion Data
- Tian Q, Yang G, Leuze CWU, Rokem A, Edlow BL, McNab JA
- The Annual Meeting of ISMRM, 2017
Cortical Diffusion Analysis of Human Connectome Project Data Identifies Granular Cortices
- Tian Q, Leuze CWU, Wu H, Yang G, Chen J, Polimeni JR, McNab JA
- The Annual Meeting of ISMRM, 2017
2016
In Vivo Characterization of the Radial and Tangential Diffusion Patterns in Human Cerebral Cortex
- Tian Q, Leuze CWU, Yang G, Polimeni JR, McNab JA
- The Annual Meeting of Organization for Human Brain Mapping (OHBM), 2016
Diffusion MRI Tractography for Improved MRI-guided Focused Ultrasound Thalamotomy Targeting for Essential Tremor
- Tian Q, Wintermark M, Pauly KB, Huss DS, Elias WJ, McNab JA
- The Annual Meeting of ISMRM, 2016 (口头报告，卓越论文奖)
2015
Effects of Motion on Coupling of Coil Elements and Parallel Imaging Reconstruction at 3T and 7T
- Tian Q, Gong E, Leuze CWU, Pauly JM, McNab JA
- The Annual Meeting of ISMRM, 2015
Quantification of 3D Microscopic Tissue Features in CLARITY Data for Comparison with Diffusion MRI
- Tian Q, Leuze CWU, Tomer R, Ferenczi E, Zeineh M, Deisseroth K, McNab JA
- The Annual Meeting of ISMRM, 2015
In Vivo Measurement of Intra-Voxel Crossing Fibers in the Cerebral Cortex Using Diffusion MRI
- Tian Q, Leuze CWU, Rokem A, McNab JA
- The Annual Meeting of ISMRM, 2015
Automatically Designing an Image Processing Pipeline for a Five-band Camera Prototype using the Local, Linear, Learned (L3) Method
- Tian Q, Blasinski H, Lansel SP, Jiang H, Fukunishi M, Farrell JE, Wandell BA
- The Annual Symposium on Electronic Imaging (EI) of Society for Imaging Science and Technology (IS&T) and International Society for Optics and Photonics (SPIE), 2015
2014
Automating the Design of Image Processing Pipelines for Novel Color Filter Arrays: Local, Linear, Learned (L3) Method
- Tian Q, Lansel SP, Farrell JE, Wandell BA
- The Annual Symposium on Electronic Imaging (EI) of Society for Imaging Science and Technology (IS&T) and International Society for Optics and Photonics (SPIE), 2014
Optimizing Q-space Sampling Density for Diffusion Spectrum Imaging
- Tian Q, Rokem A, Edlow BL, Folkerth RD, McNab JA
- The Annual Meeting of ISMRM, 2014