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ORCIDMohammad Hamghalam
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2020 – today
- 2024
[j8]Mohammad Hamghalam
, Amber L. Simpson:
Medical image synthesis via conditional GANs: Application to segmenting brain tumours. Comput. Biol. Medicine 170: 107982 (2024)- [j7]Hamed Karimi, Mohammad Hamghalam:
Segmentation of 3D MRI Using 2D Convolutional Neural Networks in Infants' Brain. Multim. Tools Appl. 83(11): 33511-33526 (2024) - [c12]Mohammad Hamghalam, Robert Moreland, David Gomez, Hui-Ming Lin, Ali Babaei Jandaghi, Monica Tafur Arciniegas, Paraskevi A. Vlachou, Matthew Wu, Michael Brassil, Priscila Crivellaro, Shobhit Mathur, Shahob Hosseinpour, Errol Colak, Amber L. Simpson:
Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans. ISBI 2024: 1-5 - 2023
- [c11]Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c10]Jacob J. Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai, HyunSeon Christine Kang, Xiujiang John Rong, Yun Shin Chun, Richard K. G. Do, Amber L. Simpson:
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. UNSURE@MICCAI 2023: 42-52 - [c9]Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 311-321 - [i6]Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases. CoRR abs/2308.15932 (2023) - [i5]Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. CoRR abs/2308.16598 (2023) - 2022
- [j6]Mostafa Soleymanifard, Mohammad Hamghalam:
Multi-stage glioma segmentation for tumour grade classification based on multiscale fuzzy C-means. Multim. Tools Appl. 81(6): 8451-8470 (2022) - [c8]Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson:
Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size. BrainLes@MICCAI 2022: 195-204 - [c7]Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. MMMI@MICCAI 2022: 110-120 - 2021
- [j5]Mona Ghahremani, Hamid Ghadiri, Mohammad Hamghalam:
Local features integration for content-based image retrieval based on color, texture, and shape. Multim. Tools Appl. 80(18): 28245-28263 (2021) - [c6]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. MICCAI (7) 2021: 442-452 - [i4]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. CoRR abs/2107.03442 (2021) - 2020
- [j4]Mohammad Hamghalam, Tianfu Wang, Baiying Lei:
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans. Neural Networks 132: 43-52 (2020) - [c5]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. AAAI 2020: 4067-4074 - [c4]Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei:
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. ISBI 2020: 1-4 - [i3]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation. CoRR abs/2006.05030 (2020) - [i2]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans. CoRR abs/2010.10612 (2020)
2010 – 2019
- 2019
- [c3]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans. BrainLes@MICCAI (1) 2019: 3-12 - [c2]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. BrainLes@MICCAI (1) 2019: 153-162 - [i1]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. CoRR abs/1909.13640 (2019) - 2015
- [j3]Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee:
Vertex angle image watermarking with optimal detector. Multim. Tools Appl. 74(9): 3077-3098 (2015) - 2014
- [j2]Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee:
Geometric modelling of the wavelet coefficients for image watermarking using optimum detector. IET Image Process. 8(3): 162-172 (2014) - 2013
- [j1]Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee:
Robust image watermarking using dihedral angle based on maximum-likelihood detector. IET Image Process. 7(5): 451-463 (2013)
2000 – 2009
- 2009
- [c1]Mohammad Hamghalam, Ahmad Ayatollahi:
Automatic Counting of Leukocytes in Giemsa-Stained Images of Peripheral Blood Smear. ICDIP 2009: 13-16
Coauthor Index
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