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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