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Journal Articles
- 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. NeuroImage 266: 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. NeuroImage 281: 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. NeuroImage 250: 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. NeuroImage 230: 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) - 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. NeuroImage 218: 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. NeuroImage 220: 117106 (2020) - 2019
- [j12]Kiarash Ghassaban, Saifeng Liu, Caihong Jiang, E. Mark Haacke:
Quantifying iron content in magnetic resonance imaging. NeuroImage 187: 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. NeuroImage 198: 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. NeuroImage 124: 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. NeuroImage 134: 494-507 (2016) - 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. Imaging 2014: 239123:1-239123:7 (2014) - 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. NeuroImage 78: 68-74 (2013) - 2012
- [j6]E. Mark Haacke, Yongquan Ye:
The role of susceptibility weighted imaging in functional MRI. NeuroImage 62(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. NeuroImage 54(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. NeuroImage 54(2): 750-759 (2011) - 1997
- [j3]Ramesh Venkatesan, E. Mark Haacke:
Role of high resolution in magnetic resonance (MR) imaging: Applications to MR angiography, intracranial T1-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)
Conference and Workshop Papers
- 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 - 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. EMBC 2015: 7800-7803 - 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. BIBM 2014: 320-324 - 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. ISBI 2004: 1043-1046 - 1998
- [c1]E. Mark Haacke:
Functional Brain Mapping. ICIP (2) 1998: 1-4
Informal and Other Publications
- 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. CoRR abs/2110.00203 (2021) - 2020
- [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. CoRR abs/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. CoRR abs/2009.06184 (2020)
Coauthor Index
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