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MH

Mohammad Hamghalam

cs.CVeess.IVcs.LGImage Processing, Computer-AssistedNeural Networks, ComputerTomography, X-Ray ComputedBrain NeoplasmsLiver NeoplasmsMachine learningSegmentation

On Valency

published · living versions
W_ezhqzjt7·v1 · currentpublished
Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography
with Ramtin Mojtahedi, Jacob J. Peoples, Natalie Gangai, Mithat Gonen +4
1 version

Preprints & journals

22 papers in the corpus · 2019–2026
Parameter-Efficient Fine-Tuning of Foundation Models for Liver Tumor Segmentation in CT2609.14106v1 · Ramtin Mojtahedi, Mohammad Hamghalam, Jacob J. Peoples et al.2026 · 1 citationProc. SPIE 13926, Medical Imaging 2026: Computer-Aided Diagnosis, 1392612 (2026)
Improving preoperative risk stratification in colorectal liver metastases: a multi-institutional evaluation of multimodal prediction models.42448749 · Kobayashi, Kaitlyn S M, Mojtahedi, Ramtin, Bunker, E Claire et al.2026 · 0 citationsScientific reports. 2026
Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification.41616240 · Mojtahedi, Ramtin, Hamghalam, Mohammad, Peoples, Jacob J et al.2026 · 0 citationsJCO clinical cancer informatics. 2026;10:e2500135
Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT.41505999 · Hamghalam, Mohammad, Peoples, Jacob J, Kobayashi, Kaitlyn S M et al.2026 · 2 citationsComputer methods and programs in biomedicine. 2026;276:109233
Radiomic signatures from baseline CT predict chemotherapy response in unresectable colorectal liver metastases.41536565 · Piliposyan, Mane, Peoples, Jacob J, Hamghalam, Mohammad et al.2026 · 1 citationJournal of medical imaging (Bellingham, Wash.). 2026;13(1):014505
A Novel Patch-Based TDA Approach for Computed Tomography Imaging2512.12108v5 · Dashti A. Ali, Aras T. Asaad, Jacob J. Peoples et al.2025 · 0 citationsarXiv
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.40628696 · Zenk, Maximilian, Baid, Ujjwal, Pati, Sarthak et al.2025 · 16 citationsNature communications. 2025;16(1):6274
The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.40289097 · Lee, Daniel J, Hamghalam, Mohammad, Wang, Lily et al.2025 · 4 citationsBiomedical engineering online. 2025;24(1):49
Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases.41394427 · Peoples, Jacob J, Hamghalam, Mohammad, James, Imani et al.2026 · 2 citationsThe journal of machine learning for biomedical imaging. 2025;2(UNSURE2023):2326-2357
Medical image synthesis via conditional GANs: Application to segmenting brain tumours.38266466 · Hamghalam, Mohammad, Simpson, Amber L2024 · 57 citationsComputers in biology and medicine. 2024;170:107982
Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography.38189316 · Hamghalam, Mohammad, Moreland, Robert, Gomez, David et al.2024 · 18 citationsCanadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes. 2024;75(3):534-541
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation2308.16598v1 · Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do et al.2023 · 19 citationsMultiscale Multimodal Medical Imaging. MMMI 2022. Lecture Notes in Computer Science, vol 13594. Springer, Cham
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases2308.15932v1 · Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson2023 · 9 citationsProc. SPIE 12468, Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, 124680U (10 April 2023)
The RSNA Cervical Spine Fracture CT Dataset.37795143 · Lin, Hui Ming, Colak, Errol, Richards, Tyler et al.2024 · 30 citationsRadiology. Artificial intelligence. 2023;5(5):e230034
Author Correction: Federated learning enables big data for rare cancer boundary detection.36702828 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2025 · 5 citationsNature communications. 2023;14(1):436
Federated learning enables big data for rare cancer boundary detection.36470898 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2022 · 390 citationsNature communications. 2022;13(1):7346
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation2107.03442v1 · Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei et al.2021 · 28 citationsarXiv
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans2010.10612v1 · Mohammad Hamghalam, Baiying Lei, Tianfu Wang2020 · 14 citationsarXiv
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.32861913 · Hamghalam, Mohammad, Wang, Tianfu, Lei, Baiying2021 · 43 citationsNeural networks : the official journal of the International Neural Network Society. 2020;132:43-52
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation2006.05030v1 · Mohammad Hamghalam, Baiying Lei, Tianfu Wang2020 · 3 citationsarXiv
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans1909.13640v2 · Mohammad Hamghalam, Baiying Lei, Tianfu Wang2019 · 42 citationsarXiv
Career total: 47 works. 22 are in this corpus.

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