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2020 – today
- 2024
[j7]Lei Zhang, Xiaoke Wang, Michael G. Rawson, Radu V. Balan
, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst:
Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function. Algorithms 17(5): 215 (2024)- 2022
- [i1]Lei Zhang, Xiaoke Wang, Michael G. Rawson, Radu Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst:
Motion correction in MRI using deep learning and a novel hybrid loss function. CoRR abs/2210.14156 (2022)
2010 – 2019
- 2012
- [j6]Ali Gooya, Kilian M. Pohl, Michel Bilello, Luigi Cirillo, George Biros, Elias R. Melhem, Christos Davatzikos:
GLISTR: Glioma Image Segmentation and Registration. IEEE Trans. Medical Imaging 31(10): 1941-1954 (2012) - 2011
- [j5]James Y. Chen, F. Jacob Seagull, Paul G. Nagy, Paras Lakhani, Elias R. Melhem, Eliot L. Siegel, Nabile M. Safdar:
Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation? J. Digit. Imaging 24(1): 135-141 (2011) - 2010
- [j4]Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. Medical Image Anal. 14(5): 666-673 (2010)
2000 – 2009
- 2009
- [j3]Sumei Wang, Sungheon Gene Kim, Sanjeev Chawla, Ronald L. Wolf, Wei-Guo Zhang, Donald M. O'Rourke, Kevin D. Judy, Elias R. Melhem, Harish Poptani:
Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging. NeuroImage 44(3): 653-660 (2009) - [c4]Evangelia I. Zacharaki, Sumei Wang, Sanjeev Chawla, Dong Soo Yoo, Ronald L. Wolf, Elias R. Melhem, Christos Davatzikos:
MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE. ISBI 2009: 1035-1038 - [c3]Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features. MICCAI (1) 2009: 141-149 - 2008
- [j2]Miroslaw Swiercz, Jan Kochanowicz, John Weigele, Robert Hurst, David S. Liebeskind, Zenon Mariak, Elias R. Melhem, Jaroslaw Krejza:
Learning Vector Quantization Neural Networks Improve Accuracy of Transcranial Color-coded Duplex Sonography in Detection of Middle Cerebral Artery Spasm - Preliminary Report. Neuroinformatics 6(4): 279-290 (2008) - 2007
- [j1]Hui Zhang, Brian B. Avants, Paul A. Yushkevich, John H. Woo, Sumei Wang, L. F. McCluskey, L. B. Elman, Elias R. Melhem, James C. Gee:
High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis. IEEE Trans. Medical Imaging 26(11): 1585-1597 (2007) - [c2]Hongmin Cai, Ragini Verma, Yangming Ou, Seung-Koo Lee, Elias R. Melhem, Christos Davatzikos:
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images. ISBI 2007: 600-603 - 2006
- [c1]Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karaçali, Dengfeng Liu, Elias R. Melhem, R. Nick Bryan, Christos Davatzikos:
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification. ISBI 2006: 307-310
Coauthor Index
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