Superresolution reconstruction through object modeling and parameter estimation. - E. Mark Haacke; Zhi-Pei Liang; Steven H. Izen (IEEE Trans. Acoust. Speech Signal Process., 1989)

In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow. - E. Mark Haacke; Song Lai; Dmitriy A. Yablonskiy; Weili Lin (Int. J. Imaging Syst. Technol., 1995)

Role of high resolution in magnetic resonance (MR) imaging: Applications to MR angiography, intracranial T1-weighted imaging, and image interpolation. - Ramesh Venkatesan; E. Mark Haacke (Int. J. Imaging Syst. Technol., 1997)

Functional Brain Mapping. - E. Mark Haacke (ICIP (2), 1998)

A New Method to Measure Cross Sectional Area of Vessels in MRI Image and Its Application in Stenosis Detection. - Jing Jiang 014; Ming Dong; E. Mark Haacke (ISBI, 2004)

ARGDYP: an Adaptive Region Growing and DYnamic Programming Algorithm for Stenosis Detection in MRI. - Jing Jiang 014; Ming Dong; E. Mark Haacke (ICASSP (2), 2005)

Non-invasive measurement of oxygen saturation in the spinal vein using SWI: Quantitative evaluation under conditions of physiological and caffeine load. - Noriyuki Fujima; Kohsuke Kudo; Satoshi Terae; Kinya Ishizaka; Rie Yazu; Yuri Zaitsu; Khin Khin Tha; Daisuke Yoshida; Akiko Tsukahara; E. Mark Haacke; Makoto Sasaki; Hiroki Shirato (NeuroImage, 2011)

Differential effects of age and history of hypertension on regional brain volumes and iron. - Karen M. Rodrigue; E. Mark Haacke; Naftali Raz (NeuroImage, 2011)

The role of susceptibility weighted imaging in functional MRI. - E. Mark Haacke; Yongquan Ye (NeuroImage, 2012)

Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging. - Weili Zheng; Helen Nichol; Saifeng Liu; Yu-Chung N. Cheng; E. Mark Haacke (NeuroImage, 2013)

A semi-informative aware approach using topic model for medical search. - Qinmin Vivian Hu; Liang He 001; Mingyao Li; Jimmy Xiangji Huang; E. Mark Haacke (BIBM, 2014)

Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR. - Yi Zhong; David Utriainen; Ying Wang 060; Yan Kang; E. Mark Haacke (Int. J. Biomed. Imaging, 2014)

ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval. - Yang Song 010; Yun He; Qinmin Hu; Liang He 001; E. Mark Haacke (CLEF (Working Notes), 2015)

A simulation model to study the role of the extracranial venous drainage pathways in intracranial hemodynamics. - Giacomo Gadda; Angelo Taibi; Francesco Sisini; Mauro Gambaccini; Sean K. Sethi; David Utriainen; E. Mark Haacke; Paolo Zamboni; Mauro Ursino (EMBC, 2015)

The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods. - Armin Iraji; Vince D. Calhoun; Natalie M. Wiseman; Esmaeil Davoodi-Bojd; Mohammad R. N. Avanaki; E. Mark Haacke; Zhifeng Kou (NeuroImage, 2016)

Database integration of protocol-specific neurological imaging datasets. - Emil E. Pacurar; Sean K. Sethi; Charbel Habib; Marius O. Laze; Rachel Martis-Laze; E. Mark Haacke (NeuroImage, 2016)

Quantifying iron content in magnetic resonance imaging. - Kiarash Ghassaban; Saifeng Liu; Caihong Jiang; E. Mark Haacke (NeuroImage, 2019)

Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning. - Saifeng Liu; David Utriainen; Chao Chai; Yongsheng Chen; Lin Wang; Sean K. Sethi; Shuang Xia; E. Mark Haacke (NeuroImage, 2019)

JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation. - Yifan Wang; Guoli Yan; Haikuan Zhu; Sagar Buch; Ying Wang 060; Ewart Mark Haacke; Jing Hua 001; Zichun Zhong (MICCAI (6), 2020)

Semi-automatic detection of increased susceptibility in multiple sclerosis white matter lesions imaged with 1.5T MRI. - Laura Pelizzari; Niels Bergsland; David Utriainen; Stefano Viotti; Francesca Baglio; L. Mendozzi; Pietro Cecconi; E. Mark Haacke; Paolo Zamboni; Maria Marcella Laganà (Biomed. Signal Process. Control., 2020)

Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network. - Chao Chai; Pengchong Qiao; Bin Zhao; Huiying Wang; Guohua Liu; Hong Wu; E. Mark Haacke; Wen Shen 008; Chen Cao 007; Xinchen Ye; Zhiyang Liu; Shuang Xia (CoRR, 2020)

Subvoxel vascular imaging of the midbrain using USPIO-Enhanced MRI. - Sagar Buch; Ying Wang 060; Min-Gyu Park; Pavan K. Jella; Jiani Hu; Yongsheng Chen; Kamran Shah; Yulin Ge; E. Mark Haacke (NeuroImage, 2020)

Optimizing neuromelanin contrast in the substantia nigra and locus coeruleus using a magnetization transfer contrast prepared 3D gradient recalled echo sequence. - Yu Liu; Junchen Li; Naying He; Yongsheng Chen; Zhijia Jin; Fuhua Yan; E. Mark Haacke (NeuroImage, 2020)

Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis. - Soheil Zabihi; Elahe Rahimian; Soumya Sharma; Sean K. Sethi; Sara Gharabaghi; Amir Asif; E. Mark Haacke; Mandar S. Jog; Arash Mohammadi 001 (CoRR, 2021)

Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: Combining neuromelanin, iron and the nigrosome-1 sign as complementary imaging biomarkers in early stage Parkinson's disease. - Naying He; Kiarash Ghassaban; Pei Huang 015; Mojtaba Jokar; Ying Wang 060; Zenghui Cheng; Zhijia Jin; Yan Li; Sean K. Sethi; Yixi He; Yongsheng Chen; Sara Gharabaghi; et al. (NeuroImage, 2021)

VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data. - Yifan Wang; Guoli Yan; Haikuan Zhu; Sagar Buch; Ying Wang 060; Ewart Mark Haacke; Jing Hua 001; Zichun Zhong (IEEE Trans. Vis. Comput. Graph., 2021)

Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI. - Sagar Buch; Yongsheng Chen; Pavan K. Jella; Yulin Ge; E. Mark Haacke (NeuroImage, 2022)

Diagnosing Parkinson's disease by combining neuromelanin and iron imaging features using an automated midbrain template approach. - Mojtaba Jokar; Zhijia Jin; Pei Huang 015; Ying Wang 060; Youmin Zhang 007; Yan Li; Zenghui Cheng; Yu Liu; Rongbiao Tang; Xiaofeng Shi; Jihua Min; Fangtao Liu; et al. (NeuroImage, 2023)

The iron burden of cerebral microbleeds contributes to brain atrophy through the mediating effect of white matter hyperintensity. - Ke Lv; Yanzhen Liu; Yongsheng Chen; Sagar Buch; Ying Wang 060; Zhuo Yu; Huiying Wang; Chenxi Zhao; Dingwei Fu; Huapeng Wang; Beini Wang; Shengtong Zhang; et al. (NeuroImage, 2023)

ROSE: Multi-level super-resolution-oriented semantic embedding for 3D microvasculature segmentation from low-resolution images. - Yifan Wang; Haikuan Zhu; Hongbo Li; Guoli Yan; Sagar Buch; Ying Wang 060; Ewart Mark Haacke; Jing Hua 001; Zichun Zhong (Neurocomputing, 2024)

In vivo mapping of hippocampal venous vasculature and oxygenation using susceptibility imaging at 7T. - Chenyang Li 010; Sagar Buch; Zhe Sun; Marco Muccio; Li Jiang; Yongsheng Chen; E. Mark Haacke; Jiangyang Zhang; Thomas M. Wisniewski; Yulin Ge (NeuroImage, 2024)

PENCIL imaging: A novel approach for neuromelanin sensitive MRI in Parkinson's disease. - Peng Liu; Xinhui Wang; Youmin Zhang 007; Pei Huang 015; Zhijia Jin; Zenghui Cheng; Yongsheng Chen; Qiuyun Xu; Kiarash Ghassaban; Yu Liu; Shengdi Chen; Naying He; et al. (NeuroImage, 2024)

In Vivo visualization of white matter fiber tracts in the brainstem using low flip angle double echo 3D gradient echo imaging at 3T. - Qiuyun Xu; Yongsheng Chen; Stephan Miller; Kunal Bajaj; Jairo Santana; Mohamed Badawy; Haiying Lyu; Yu Liu; Naying He; Fuhua Yan; E. Mark Haacke (NeuroImage, 2024)

Optimizing the visualization of the locus coeruleus using magnetization transfer contrast 3D imaging. - Haiying Lyu; Naying He; Bo Wu; Paula Trujillo; Fuhua Yan; Yong Lu; E. Mark Haacke (NeuroImage, 2025)

White matter hyperintensity tissue property spatial variations as a function of cognitive status in Parkinson's disease. - Mariyemuguli Reheman; Sagar Buch; Naying He; Pei Huang 015; Qiurong Yu; Xinhui Wang; Yu Liu; Youmin Zhang 007; Zhijia Jin; Yan Li; Peng Liu; Shengdi Chen; et al. (NeuroImage, 2025)