Publications

Full list at PubMed, Google Scholar, Google Patents

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Changes in the Cerebello-thalamo-cortical Network after MR-guided Focused Ultrasound Thalamotomy [PDF]

  • 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

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SDnDTI: Self-supervised Deep Leaning-based Denoising for Diffusion Tensor MRI [PDF] [Tutorial 1] [Tutorial 2] [Codes]

  • Tian Q, Li Z, Fan Q, Polimeni JR, Bilgic B, Salat DH, Huang SY

  • NeuroImage, 2022; 253: 119033

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Comprehensive Diffusion MRI Dataset for In Vivo Human Brain Microstructure Mapping using 300 mT/m Gradients [PDF] [Dataset]

  • 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

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High-fidelity Fast Volumetric Brain MRI using Synergistic Wave-controlled Aliasing in Parallel Imaging and a Hybrid Denoising Generative Adversarial Network [PDF] [Video] [Codes]

  • 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

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Improved Cortical Surface Reconstruction using Sub-millimeter Resolution MPRAGE by Image Denoising [PDF]

  • Tian Q, Zaretskaya N, Fan Q, Ngamsombat C, Bilgic B, Polimeni JR, Huang SY

  • NeuroImage, 2021; 233: 117946

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Improving In Vivo Human Cerebral Cortical Surface Reconstruction using Data Driven Super-resolution [PDF] [Video1] [Video2]

  • 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

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DeepDTI: High-fidelity Six-direction Diffusion Tensor Imaging using Deep Learning [PDF] [Video1] [Video2] [Tutorial] [Codes]

  • Tian Q, Bilgic B, Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY

  • NeuroImage, 2020; 219: 117017

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Generalized Diffusion Spectrum Magnetic Resonance Imaging (GDSI) for Model-free Reconstruction of the Ensemble Average Propagator [PDF] [Tutorial] [Codes]

  • Tian Q, Yang G, Leuze C, Rokem A, Edlow BL, McNab JA

  • NeuroImage, 2019; 189:497-515

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Diffusion MRI Tractography for Improved Transcranial MRI-guided Focused Ultrasound Thalamotomy Targeting for Essential Tremor [PDF] [Video] [Codes]

  • 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

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Q-Space Truncation and Sampling in Diffusion Spectrum Imaging [PDF] [Codes]

  • Tian Q, Rokem A, Folkerth RD, Nummenmaa A, Fan Q, Edlow BL, McNab JA

  • Magnetic Resonance in Medicine, 2016; 76(6):1750-1763

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Automatically Designing an Image Processing Pipeline for a Five-band Camera Prototype using the Local, Linear, Learned (L3) Method [PDF]

  • 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

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Automating the Design of Image Processing Pipelines for Novel Color Filter Arrays: Local, Linear, Learned (L3) Method [PDF] [Slides]

  • Tian Q, Lansel SP, Farrell JE, Wandell BA

  • Proceedings of the International Society for Optics and Photonics (SPIE), 2014; 9023: 90230K

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GPU-accelerated Local Tone-mapping for High Dynamic Range Images [PDF]

  • Tian Q, Duan J, Qiu G

  • Proceedings of the 19th IEEE International Conference on Image Processing (ICIP), 2012; 377-380



Co-authored Papers

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

  • bioRxiv Preprint, 2022; bioRxiv: 2020.10.09.332700

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

  • arXiv Preprint, 2022; arXiv: 2202.02814

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

Highly Accelerated EPI with Wave Encoding and Multi-shot Simultaneous Multi-Slice Imaging

  • 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

Diffusion MRI Using 300 mT/m Gradient Strength: Methodological Advances and Scientific Impacts

  • 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

Connectome 2.0: Developing the Next-generation Ultra-high Gradient Strength Human MRI Scanner for Bridging Studies of the Micro-, Meso- and Macro-connectome

  • 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

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