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• 2026
• 
  [j27]
  Sagar Buch,Yifan Lv,Mingming Wang,Bo Wu,Ryan M. Smith,Yu Luo,E. Mark Haacke:
  Partial volume correction for quantifying venous oxygen saturation levels using contrast-enhanced MRI.NeuroImage325:121682 (2026)
• 2025
• 
  [j26]
  Mariyemuguli Reheman,Sagar Buch,Naying He,Pei Huang,Qiurong Yu,Xinhui Wang,Yu Liu,Youmin Zhang,Zhijia Jin,Yan Li,Peng Liu,Shengdi Chen,E. Mark Haacke,Fuhua Yan:
  White matter hyperintensity tissue property spatial variations as a function of cognitive status in Parkinson's disease.NeuroImage312:121236 (2025)
• 
  [j25]
  Haiying Lyu,Naying He,Bo Wu,Paula Trujillo,Fuhua Yan,Yong Lu,E. Mark Haacke:
  Optimizing the visualization of the locus coeruleus using magnetization transfer contrast 3D imaging.NeuroImage318:121372 (2025)
• 2024
• 
  [j24]
  Yifan Wang,Haikuan Zhu,Hongbo Li,Guoli Yan,Sagar Buch,Ying Wang,Ewart Mark Haacke,Jing Hua,Zichun Zhong:
  ROSE: Multi-level super-resolution-oriented semantic embedding for 3D microvasculature segmentation from low-resolution images.Neurocomputing599:128038 (2024)
• 
  [j23]
  Peng Liu,Xinhui Wang,Youmin Zhang,Pei Huang,Zhijia Jin,Zenghui Cheng,Yongsheng Chen,Qiuyun Xu,Kiarash Ghassaban,Yu Liu,Shengdi Chen,Naying He,Fuhua Yan,E. Mark Haacke:
  PENCIL imaging: A novel approach for neuromelanin sensitive MRI in Parkinson's disease.NeuroImage291:120588 (2024)
• 
  [j22]
  Chenyang Li,Sagar Buch,Zhe Sun,Marco Muccio,Li Jiang,Yongsheng Chen,E. Mark Haacke,Jiangyang Zhang,Thomas M. Wisniewski,Yulin Ge:
  In vivo mapping of hippocampal venous vasculature and oxygenation using susceptibility imaging at 7T.NeuroImage291:120597 (2024)
• 
  [j21]
  Qiuyun Xu,Yongsheng Chen,Stephan Miller,Kunal Bajaj,Jairo Santana,Mohamed Badawy,Haiying Lyu,Yu Liu,Naying He,Fuhua Yan,E. Mark Haacke:
  In Vivo visualization of white matter fiber tracts in the brainstem using low flip angle double echo 3D gradient echo imaging at 3T.NeuroImage300:120857 (2024)
• 2023
• 
  [j20]
  Mojtaba Jokar,Zhijia Jin,Pei Huang,Ying Wang,Youmin Zhang,Yan Li,Zenghui Cheng,Yu Liu,Rongbiao Tang,Xiaofeng Shi,Jihua Min,Fangtao Liu,Shengdi Chen,Naying He,E. Mark Haacke,Fuhua Yan:
  Diagnosing Parkinson's disease by combining neuromelanin and iron imaging features using an automated midbrain template approach.NeuroImage266:119814 (2023)
• 
  [j19]
  Ke Lv,Yanzhen Liu,Yongsheng Chen,Sagar Buch,Ying Wang,Zhuo Yu,Huiying Wang,Chenxi Zhao,Dingwei Fu,Huapeng Wang,Beini Wang,Shengtong Zhang,Yu Luo,E. Mark Haacke,Wen Shen,Chao Chai,Shuang Xia:
  The iron burden of cerebral microbleeds contributes to brain atrophy through the mediating effect of white matter hyperintensity.NeuroImage281:120370 (2023)
• 2022
• 
  [j18]
  Sagar Buch,Yongsheng Chen,Pavan K. Jella,Yulin Ge,E. Mark Haacke:
  Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI.NeuroImage250:118957 (2022)
• 2021
• 
  [j17]
  Naying He,Kiarash Ghassaban,Pei Huang,Mojtaba Jokar,Ying Wang,Zenghui Cheng,Zhijia Jin,Yan Li,Sean K. Sethi,Yixi He,Yongsheng Chen,Sara Gharabaghi,Shengdi Chen,Fuhua Yan,E. Mark Haacke:
  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.NeuroImage230:117810 (2021)
• 
  [j16]
  Yifan Wang,Guoli Yan,Haikuan Zhu,Sagar Buch,Ying Wang,Ewart Mark Haacke,Jing Hua,Zichun Zhong:
  VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data.IEEE Trans. Vis. Comput. Graph.27(2):1301-1311 (2021)
• 
  [i3]
  Soheil Zabihi,Elahe Rahimian,Soumya Sharma,Sean K. Sethi,Sara Gharabaghi,Amir Asif,E. Mark Haacke,Mandar S. Jog,Arash Mohammadi:
  Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis.CoRRabs/2110.00203 (2021)
• 2020
• 
  [j15]
  Laura Pelizzari,Niels Bergsland,David Utriainen,Stefano Viotti,Francesca Baglio,L. Mendozzi,Pietro Cecconi,E. Mark Haacke,Paolo Zamboni,Maria Marcella Laganà:
  Semi-automatic detection of increased susceptibility in multiple sclerosis white matter lesions imaged with 1.5T MRI.Biomed. Signal Process. Control.61:102043 (2020)
• 
  [j14]
  Yu Liu,Junchen Li,Naying He,Yongsheng Chen,Zhijia Jin,Fuhua Yan,E. Mark Haacke:
  Optimizing neuromelanin contrast in the substantia nigra and locus coeruleus using a magnetization transfer contrast prepared 3D gradient recalled echo sequence.NeuroImage218:116935 (2020)
• 
  [j13]
  Sagar Buch,Ying Wang,Min-Gyu Park,Pavan K. Jella,Jiani Hu,Yongsheng Chen,Kamran Shah,Yulin Ge,E. Mark Haacke:
  Subvoxel vascular imaging of the midbrain using USPIO-Enhanced MRI.NeuroImage220:117106 (2020)
• 
  [c7]
  Yifan Wang,Guoli Yan,Haikuan Zhu,Sagar Buch,Ying Wang,Ewart Mark Haacke,Jing Hua,Zichun Zhong:
  JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation.MICCAI (6)2020:106-116
• 
  [i2]
  Chao Chai,Pengchong Qiao,Bin Zhao,Huiying Wang,Guohua Liu,Hong Wu,E. Mark Haacke,Wen Shen,Chen Cao,Xinchen Ye,Zhiyang Liu,Shuang Xia:
  Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network.CoRRabs/2008.00901 (2020)
• 
  [i1]
  Yifan Wang,Guoli Yan,Haikuan Zhu,Sagar Buch,Ying Wang,Ewart Mark Haacke,Jing Hua,Zichun Zhong:
  VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data.CoRRabs/2009.06184 (2020)

• 2019
• 
  [j12]
  Kiarash Ghassaban,Saifeng Liu,Caihong Jiang,E. Mark Haacke:
  Quantifying iron content in magnetic resonance imaging.NeuroImage187:77-92 (2019)
• 
  [j11]
  Saifeng Liu,David Utriainen,Chao Chai,Yongsheng Chen,Lin Wang,Sean K. Sethi,Shuang Xia,E. Mark Haacke:
  Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.NeuroImage198:271-282 (2019)
• 2016
• 
  [j10]
  Emil E. Pacurar,Sean K. Sethi,Charbel Habib,Marius O. Laze,Rachel Martis-Laze,E. Mark Haacke:
  Database integration of protocol-specific neurological imaging datasets.NeuroImage124:1220-1224 (2016)
• 
  [j9]
  Armin Iraji,Vince D. Calhoun,Natalie M. Wiseman,Esmaeil Davoodi-Bojd,Mohammad R. N. Avanaki,E. Mark Haacke,Zhifeng Kou:
  The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods.NeuroImage134:494-507 (2016)
• 2015
• 
  [c6]
  Yang Song,Yun He,Qinmin Hu,Liang He,E. Mark Haacke:
  ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval.CLEF (Working Notes)2015
• 
  [c5]
  Giacomo Gadda,Angelo Taibi,Francesco Sisini,Mauro Gambaccini,Sean K. Sethi,David Utriainen,E. Mark Haacke,Paolo Zamboni,Mauro Ursino:
  A simulation model to study the role of the extracranial venous drainage pathways in intracranial hemodynamics.EMBC2015:7800-7803
• 2014
• 
  [j8]
  Yi Zhong,David Utriainen,Ying Wang,Yan Kang,E. Mark Haacke:
  Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR.Int. J. Biomed. Imaging2014:239123:1-239123:7 (2014)
• 
  [c4]
  Qinmin Vivian Hu,Liang He,Mingyao Li,Jimmy Xiangji Huang,E. Mark Haacke:
  A semi-informative aware approach using topic model for medical search.BIBM2014:320-324
• 2013
• 
  [j7]
  Weili Zheng,Helen Nichol,Saifeng Liu,Yu-Chung N. Cheng,E. Mark Haacke:
  Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging.NeuroImage78:68-74 (2013)
• 2012
• 
  [j6]
  E. Mark Haacke,Yongquan Ye:
  The role of susceptibility weighted imaging in functional MRI.NeuroImage62(2):923-929 (2012)
• 2011
• 
  [j5]
  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:
  Non-invasive measurement of oxygen saturation in the spinal vein using SWI: Quantitative evaluation under conditions of physiological and caffeine load.NeuroImage54(1):344-349 (2011)
• 
  [j4]
  Karen M. Rodrigue,E. Mark Haacke,Naftali Raz:
  Differential effects of age and history of hypertension on regional brain volumes and iron.NeuroImage54(2):750-759 (2011)

• 2005
• 
  [c3]
  Jing Jiang,Ming Dong,E. Mark Haacke:
  ARGDYP: an Adaptive Region Growing and DYnamic Programming Algorithm for Stenosis Detection in MRI.ICASSP (2)2005:465-468
• 2004
• 
  [c2]
  Jing Jiang,Ming Dong,E. Mark Haacke:
  A New Method to Measure Cross Sectional Area of Vessels in MRI Image and Its Application in Stenosis Detection.ISBI2004:1043-1046

• 1998
• 
  [c1]
  E. Mark Haacke:
  Functional Brain Mapping.ICIP (2)1998:1-4
• 1997
• 
  [j3]
  Ramesh Venkatesan,E. Mark Haacke:
  Role of high resolution in magnetic resonance (MR) imaging: Applications to MR angiography, intracranialT₁-weighted imaging, and image interpolation.Int. J. Imaging Syst. Technol.8(6):529-543 (1997)
• 1995
• 
  [j2]
  E. Mark Haacke,Song Lai,Dmitriy A. Yablonskiy,Weili Lin:
  In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow.Int. J. Imaging Syst. Technol.6(2-3):153-163 (1995)

• 1989
• 
  [j1]
  E. Mark Haacke,Zhi-Pei Liang,Steven H. Izen:
  Superresolution reconstruction through object modeling and parameter estimation.IEEE Trans. Acoust. Speech Signal Process.37(4):592-595 (1989)

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