Honghai Zhang, Ph.D.
Affiliations: | 2007 | Electrical and Computer Engineering | University of Iowa, Iowa City, IA |
Area:
Biomedical, Ophthalmology, Electronics and ElectricalGoogle:
"Honghai Zhang"Parents
Sign in to add mentor| Milan Sonka | grad student | 2007 | University of Iowa | |
| (Segmentation and computer-aided diagnosis of cardiac MR images using four-dimensional active appearance models.) | ||||
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Publications
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| Hyer DE, Caster J, Smith B, et al. (2023) A Technique to Enable Efficient Adaptive Radiation Therapy: Automated Contouring of Prostate and Adjacent Organs. Advances in Radiation Oncology. 9: 101336 |
| Bathla G, Dhruba DD, Liu Y, et al. (2023) Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation. Academic Radiology |
| Bathla G, Dhruba DD, Soni N, et al. (2023) AI-based Classification of Three Common Malignant Tumors in Neuro-oncology: A Multi-Institutional Comparison of Machine Learning and Deep Learning Methods. Journal of Neuroradiology = Journal De Neuroradiologie |
| Zaman FA, Zhang L, Zhang H, et al. (2023) Segmentation quality assessment by automated detection of erroneous surface regions in medical images. Computers in Biology and Medicine. 164: 107324 |
| Ensley JE, Tachau KH, Walsh SA, et al. (2023) Using computed tomography to recover hidden medieval fragments beneath early modern leather bindings, first results. Heritage Science. 11: 82 |
| Zhang L, Guo Z, Zhang H, et al. (2023) Assisted annotation in Deep LOGISMOS: Simultaneous multi-compartment 3D MRI segmentation of calf muscles. Medical Physics |
| Bathla G, Liu Y, Zhang H, et al. (2021) Computed Tomography Perfusion-Based Prediction of Core Infarct and Tissue at Risk: Can Artificial Intelligence Help Reduce Radiation Exposure? Stroke. 52: e755-e759 |
| Priya S, Liu Y, Ward C, et al. (2021) Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters? Cancers. 13 |
| Priya S, Liu Y, Ward C, et al. (2021) Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics. Scientific Reports. 11: 10478 |
| Bathla G, Priya S, Liu Y, et al. (2021) Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques. European Radiology |