Research
Media
Scinetific American | Building a See-Through Brain
2016/10/01
Southern Weekly | 点亮神经元，寻找记忆痕迹
2016/08/04
Stanford News | Stanford research shows that different brain cells process positive and negative experiences
2016/05/26
Datasets
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
Reviews
- 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
- NeuroImage, 2021; 243: 118530
Papers
- Lee HH, Tian Q, Sheft M, Coronado-Leija R, Ramos-Llorden G, Fieremans E, Novikov DS, Huang SY
- NMR in Biomedicine, 2024; e5087
- Li Z, Fan Q, Bilgic B, Wang G, Wu W, Polimeni JR, Miller KL, Huang SY, Tian Q
- Medical Image Analysis, 2023; 86: 102744
- Thaler C*, Tian Q* (*Co-first Author), 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
- 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 Z, Tian Q (Corresponding author), 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
- Cho J, Liao C, Tian Q (Corresponding author), 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, 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: 463-482
- Tian Q, Yang G, Leuze C, Rokem A, Edlow BL, McNab JA
- NeuroImage, 2019; 189:497-515
- Tian Q, Wintermark M, Elias WJ, Ghanouni P, Halpern CH, Henderson JM, Huss DS, Goubran M, Thaler C,
- NeuroImage: Clinical, 2018; 19:572-580
- Tian Q, Rokem A, Folkerth RD, Nummenmaa A, Fan Q, Edlow BL, McNab JA
- Magnetic Resonance in Medicine, 2016; 76(6):1750-1763
- 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
- Tian Q, Lansel SP, Farrell JE, Wandell BA
- Proceedings of the International Society for Optics and Photonics (SPIE), 2014; 9023: 90230K
- Tian Q, Duan J, Qiu G
- Proceedings of the 19th IEEE International Conference on Image Processing (ICIP), 2012; 377-380
Co-authored Papers
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 (*Co-first Author)
- Journal of the American Academy of Child and Adolescent Psychiatry, 2024; 63(1): 65-79
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
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
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. 2023; 275: 120168
Axonal and Myelin Changes and Their lnter-relationship in the 0ptic Radiations in People with Multiple Sclerosis
- Krijnen EA, Ngamsombat C, George l, Yu F Fan Q, Tian Q, Huang SY Klawiter EC
- Multiple Sclerosis Journal: Experimental, Translational and Clinical, 2023; 9(1): 20552173221147620
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
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
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
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* (*Co-first Author), 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
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
A Nonlinear Model for Diffusion-weighted MRI Reconstruction with Magnitude-based Spatial-angular Locally Low-rank Regularization
- 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
Multimodal Image Registration and Connectivity Analysis for Integration of Connectomic Data from Microscopy to MRI
- Goubran M*, Leuze CWU*, Hsueh B*, Aswendt M* (*Co-first Author), 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
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
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
Wiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences
- Ye L*, Allen WE*, Thompson KR* (*Co-first Author), 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
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
Conference Abstracts
Xiao J, Li Z, Bilgic B,
Polimeni JR, Huang SY, Tian Q. SRNR: Training Neural
Networks for Super-resolution MRI using Noisy
High-resolutionReference Data. The Annual Meeting of ISMRM,
2023. (Oral Presentation)
Li ZH, Bilgic B, Lee HH,
Ying K, Liao H, Huang SY, Tian Q. DIMOND: Diffusion Model
Optimization with Deep Learning. The Annual Meeting of ISMRM,
2023.
Xiao J, Li Z, Bilgic B,
Polimeni JR, Huang SY, Tian Q. Improving the Feasibility
of Deep Learning based Super-resolution MRI using Noisy
High-resolution Reference Data (SRNR). The Workshop on Data
Sampling & Image Reconstruction of ISMRM, 2023.
Li ZY, Fan Q, Bilgic B,
Wang G, Wu W, Polimeni JR, Miller KL, Huang SY, Tian Q.
Improved Co-registration of Diffusion and T1-weighted MRI Data
Assisted by Deep Learning-based Image Synthesis. The Workshop on
Diffusion MRI: From Research to Clinic of ISMRM, 2022.
Li ZY, Fan Q, Bilgic B,
Wang G, Polimeni JR, Huang SY, Tian Q. Diffusion MRI Data
Analysis using Brain Segmentation from Anatomical Images
Synthesized from Diffusion Data by Deep Learning (DeepAnat). The
Annual Meeting of ISMRM, 2022. (Oral Presentation)
Avci MY, Li Z, Fan Q, Huang
SY, Bilgic B, Tian Q. Quantifying the Uncertainty of
Neural Networks using Monte Carlo Dropout for Safer and More
Accurate Deep Learning-based Quantitative MRI. The Annual
Meeting of ISMRM, 2022. (Oral Power Pitch)
Li Z, Bilgic B, Li Z, Ying
K, Polimeni JR, Huang S, Tian Q. Noise2Average: Deep
Learning based Denoising without High-SNR Training Data using
Iterative Residual Learning. The Annual Meeting of ISMRM, 2022.
(Oral Power Pitch)
Tian Q, Li Z, Lo W,
Bilgic B, Polimeni JR, Huang SY. Improving the Accessibility of
Deep Learning-based Denoising for MRI using Transfer Learning
and Self-supervised Learning. The Annual Meeting of ISMRM,
2022. (Oral Power Pitch)
Tian Q, Li Z, Qiuyun Fan Q, Ngamsombat C, Hu Y, Liao C,
Wang F, Setsompop K, Polimeni JR, Bilgic B, Huang SY. SRDTI:
Deep
Learning-based Super-resolution for Diffusion Tensor MRI.
The Annual Meeting of ISMRM, 2021.
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. HDnGAN: High-fidelity Ultrafast Volumetric Brain MRI using a
Hybrid Denoising Generative Adversarial Network. The Annual
Meeting of ISMRM, 2021. (Oral Presentation, Magna Cum Laude
Merit Award)
Li Z, Tian Q,
Ngamsombat C, Bilgic B, Fan Q, Huang SY. High-fidelity
Super-resolution Diffusion Tensor Imaging using Deep Learning.
The Scientific Assembly and Annual Meeting of Radiological
Society of North America (RSNA), 2020. (Oral
Presentation)
Li Z, Tian Q,
Ngamsombat C, Bilgic B, Fan Q, Ying K, Huang SY. Synergistic
Super-resolution Brain MRI and Tissue Segmentation using
Multitask Deep Learning. The Scientific Assembly and Annual
Meeting of Radiological Society of North America (RSNA), 2020.
Tian Q, Bilgic B,
Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K,
Polimeni JR, Huang SY. DeepDTI: Six-direction Diffusion Tensor
MRI using Deep Learning. The Annual Meeting of ISMRM,
2020. (Oral Power Pitch, Summa Cum Laude Merit Award)
Tian Q, Fan Q,
Stephens KA, Ngamsombat C, Polackal M, Edlow BE, McNab JA, Salat
D, Huang SY. Return-to-origin Probability from Single-shell and
Multi-shell Diffusion MRI Data Correlates with Normal Aging. The
Annual Meeting of ISMRM, 2020. (Oral Power Pitch)
Tian Q, Ngamsombat
C, Lee H, Berger DR, Wu Y, Fan Q, Bilgic B, Novikov DS,
Fieremans E, Rosen BR, Lichtman JW, Huang SY. Automated
Segmentation of Human Axon and Myelin from Electron Microscopy
Data using Deep Learning for Microstructural Validation and
Simulation. The Annual Meeting of ISMRM, 2020.
Tian Q, Bilgic B,
Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K,
Polimeni JR, Huang SY. High-fidelity Diffusion Tensor MRI with
Six Diffusion-Weighted Images using Optimized Q-space Sampling
and Deep Learning. The Workshop on Data Sampling & Image
Reconstruction of ISMRM, 2020. (Oral Presentation)
Tian Q, Bilgic B,
Fan Q, Ngamsombat C, Chaudhari AS, Ohringer NA, Hu Y, Witzel T,
Setsompop K, Polimeni JR, Huang SY. SuperSurfer: Cortical
Surface Reconstruction using Super-resolution Anatomical MR
Images Synthesized by Deep Learning. The Annual Meeting of
ISMRM, 2019. (Oral Presentation)
Tian Q, Ngamsombat
C, Bilgic B, Fan Q, Hu Y, McNab JA, Setsompop K, Polimeni JR,
Huang SY. Creating a Diffusion Tractography-based Atlas of Human
Thalamic Ventral Intermediate Nucleus Aided by Deep Learning.
The Annual Meeting of ISMRM, 2019. (Oral Power Pitch, Magna
Cum Laude Merit Award)
Tian Q, Bilgic B,
Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K,
Polimeni JR, Huang SY. Six-direction Diffusion Tensor MRI using
a Convolutional Neural Network. The Annual Meeting of ISMRM,
2019.
Tian Q, Ngamsombat
C, Bilgic B, Fan Q, Hu Y, McNab JA, Setsompop K, Polimeni JR,
Huang SY. A Diffusion Tractography-based Atlas of Human Thalamic
Ventral Intermediate Nucleus for Neurosurgical Guidance. The
Annual Meeting of American Society of Neuroradiology (ASNR),
2019. (Oral Presentation)
Tian Q, Bilgic B, Fan Q, Ngamsombat C, Ohringer NA, Hu
Y, Witzel T, Setsompop K, Wald LL, Polimeni JR, Huang SY.
Improving Cortical Surface Reconstruction using
Super-resolution Sub-millimeter Structural MRI Data
Synthesized with a Convolutional Neural Network. The
Workshop on Machine Learning (Part II) of ISMRM, 2018. (Oral
Presentation)
Tian Q, Ngamsombat
C, Bilgic B, Fan Q, Ohringer NA, Hu Y, McNab JA, Witzel T,
Setsompop K, Wald LL, Polimeni JR, Huang SY. Diffusion MRI
Tractography of Tremor Circuits using Subject-specific Brain
Regions of Interest Segmented by a Convolutional Neural Network.
The Workshop on Machine Learning (Part II) of ISMRM, 2018.
Tian Q, Fan Q,
Wichtmann B, Witzel T, McNab JA, Bireley JD, Machado N, Ohringer
N, Klawiter EC, Wald LL, Nummenmaa A, Huang SY. High-gradient
Diffusion MRI Reveals Distinct Axon Diameter Estimates within
Different White Matter Tracts in the In Vivo Human Brain. The
Gordon Research Conference on In Vivo Magnetic Resonance, 2018.
Tian Q, Leuze CWU,
Wu H, Yang G, Chen J, Polimeni JR, McNab JA. In Vivo
Identification of Granular Cortices by Whole-brain Cortical
Diffusion MRI Analysis. The Annual Meeting of Organization for
Human Brain Mapping (OHBM), 2017.
Tian Q, Yang G,
Leuze CWU, Rokem A, Edlow BL, McNab JA. A Comprehensive Analytic
Solution of Diffusion Orientation Distribution Function. The
Annual Meeting of Organization for Human Brain Mapping (OHBM),
2017.
Tian Q, Yang G,
Leuze CWU, Rokem A, Edlow BL, McNab JA. Model-free Fourier
Reconstruction of the Diffusion Propagator from Multi-b-shell
Diffusion Data. The Annual Meeting of ISMRM, 2017.
Tian Q, Leuze CWU,
Wu H, Yang G, Chen J, Polimeni JR, McNab JA. Cortical Diffusion
Analysis of Human Connectome Project Data Identifies Granular
Cortices. The Annual Meeting of ISMRM, 2017.
Tian Q, Leuze CWU,
Yang G, Polimeni JR, McNab JA. In Vivo Characterization of the
Radial and Tangential Diffusion Patterns in Human Cerebral
Cortex. The Annual Meeting of Organization for Human Brain
Mapping (OHBM), 2016.
Tian Q, Wintermark
M, Pauly KB, Huss DS, Elias WJ, McNab JA. Diffusion MRI
Tractography for Improved MRI-guided Focused Ultrasound
Thalamotomy Targeting for Essential Tremor. The Annual Meeting
of ISMRM, 2016. (Oral Presentation, Summa Cum Laude Merit
Award)
Tian Q, Gong E,
Leuze CWU, Pauly JM, McNab JA. Effects of Motion on Coupling of
Coil Elements and Parallel Imaging Reconstruction at 3T and 7T.
The Annual Meeting of ISMRM, 2015.
Tian Q, Leuze CWU,
Tomer R, Ferenczi E, Zeineh M, Deisseroth K, McNab JA.
Quantification of 3D Microscopic Tissue Features in CLARITY Data
for Comparison with Diffusion MRI. The Annual Meeting of ISMRM,
2015.
Tian Q, Leuze CWU,
Rokem A, McNab JA. In Vivo Measurement of Intra-Voxel Crossing
Fibers in the Cerebral Cortex Using Diffusion MRI. The Annual
Meeting of ISMRM, 2015.
Tian Q, Rokem A,
Edlow BL, Folkerth RD, McNab JA. Optimizing Q-space Sampling
Density for Diffusion Spectrum Imaging. The Annual Meeting of
ISMRM, 2014.
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