Mohammad Hamghalam

29 papers A* 1Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT.
Comput. Methods Programs Biomed.
Mohammad Hamghalam, Jacob J. Peoples, Kaitlyn S. M. Kobayashi, Grace Park, Erin Kwak, E. Claire Bunker, Natalie Gangai, Mithat Gonen, Yun Shin Chun, Hyunseon Christine Kang, Richard K. G. Do, Amber L. Simpson
2025 J jnl
A Novel Patch-Based TDA Approach for Computed Tomography.
CoRR
Dashti A. Ali, Aras T. Asaad, Jacob J. Peoples, Mohammad Hamghalam, Alex Robins, Mane Piliposyan, Richard K. G. Do, Natalie Gangai, Yun Shin Chun, Ahmad Bashir Barekzai, Jayasree Chakraborty, Hala Khasawneh, Camila Vilela, Natally Horvat, João Miranda, Alice C. Wei, Amber L. Simpson
2025 J jnl
Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases.
CoRR
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
2024 J jnl
Medical image synthesis via conditional GANs: Application to segmenting brain tumours.
Comput. Biol. Medicine
Mohammad Hamghalam, Amber L. Simpson
2024 — conf
Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans.
ISBI
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
2024 J jnl
Segmentation of 3D MRI Using 2D Convolutional Neural Networks in Infants' Brain.
Multim. Tools Appl.
Hamed Karimi, Mohammad Hamghalam
2023 J jnl
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases.
CoRR
Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2023 — conf
Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2023 — conf
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases.
UNSURE@MICCAI
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
2023 — conf
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson
2023 J jnl
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation.
CoRR
Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2022 — conf
Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size.
BrainLes@MICCAI
Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson
2022 J jnl
Multi-stage glioma segmentation for tumour grade classification based on multiscale fuzzy C-means.
Multim. Tools Appl.
Mostafa Soleymanifard, Mohammad Hamghalam
2022 — conf
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation.
MMMI@MICCAI
Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
2021 J jnl
Local features integration for content-based image retrieval based on color, texture, and shape.
Multim. Tools Appl.
Mona Ghahremani, Hamid Ghadiri, Mohammad Hamghalam
2021 J jnl
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation.
CoRR
Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson
2021 — conf
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation.
MICCAI (7)
Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson
2020 J jnl
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans.
CoRR
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
2020 J jnl
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation.
CoRR
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
2020 A* conf
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation.
AAAI
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
2020 J jnl
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.
Neural Networks
Mohammad Hamghalam, Tianfu Wang, Baiying Lei
2020 — conf
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation.
ISBI
Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei
2019 — conf
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans.
BrainLes@MICCAI (1)
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
2019 J jnl
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans.
CoRR
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
2019 — conf
Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans.
BrainLes@MICCAI (1)
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
2015 J jnl
Vertex angle image watermarking with optimal detector.
Multim. Tools Appl.
Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee
2014 J jnl
Geometric modelling of the wavelet coefficients for image watermarking using optimum detector.
IET Image Process.
Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee
2013 J jnl
Robust image watermarking using dihedral angle based on maximum-likelihood detector.
IET Image Process.
Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee
2009 — conf
Automatic Counting of Leukocytes in Giemsa-Stained Images of Peripheral Blood Smear.
ICDIP
Mohammad Hamghalam, Ahmad Ayatollahi