Mohammad Hamghalam

According to our database, Mohammad Hamghalam authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Segmentation of 3D MRI Using 2D Convolutional Neural Networks in Infants' Brain.

Hamed Karimi, Mohammad Hamghalam

Multim. Tools Appl., March, 2024

Medical image synthesis via conditional GANs: Application to segmenting brain tumours.

Mohammad Hamghalam, Amber L. Simpson

Comput. Biol. Medicine, March, 2024

2023

Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases.

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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers.

Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases.

Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson

Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022

Multi-stage glioma segmentation for tumour grade classification based on multiscale fuzzy C-means.

Mostafa Soleymanifard, Mohammad Hamghalam

Multim. Tools Appl., 2022

Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation.

Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size.

Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Local features integration for content-based image retrieval based on color, texture, and shape.

Mona Ghahremani, Hamid Ghadiri, Mohammad Hamghalam

Multim. Tools Appl., 2021

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation.

Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.

Mohammad Hamghalam, Tianfu Wang, Baiying Lei

Neural Networks, 2020

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation.

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

CoRR, 2020

Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation.

Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation.

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans.

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans.

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2015

Vertex angle image watermarking with optimal detector.

Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee

Multim. Tools Appl., 2015

2014

Geometric modelling of the wavelet coefficients for image watermarking using optimum detector.

Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee

IET Image Process., 2014

2013

Robust image watermarking using dihedral angle based on maximum-likelihood detector.

Mohammad Hamghalam, Sattar Mirzakuchaki, Mohammad Ali Akhaee

IET Image Process., 2013

2009

Automatic Counting of Leukocytes in Giemsa-Stained Images of Peripheral Blood Smear.

Mohammad Hamghalam, Ahmad Ayatollahi

Proceedings of the 2009 International Conference on Digital Image Processing, 2009