JP
Jacob J. Peoples
Radiomicscs.CVImage Processing, Computer-AssistedLiver NeoplasmsColorectal Neoplasmseess.IVMachine learningradiomicsColorectal liver metastasesComputed tomography
On Valency
published · living versionsW_ezhqzjt7·v1 · currentpublished
Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography
with Ramtin Mojtahedi, Mohammad Hamghalam, Natalie Gangai, Mithat Gonen +4
1 version
Preprints & journals
22 papers in the corpus · 2019–2026Parameter-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)
Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography2609.11703v1 · Ramtin Mojtahedi, Mohammad Hamghalam, Jacob J. Peoples et al.2026 · 0 citationsarXivon Valency
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
Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastases.42169495 · Venugopal, Mamatha, Ramani, Sathish, Peoples, Jacob J et al.2026 · 0 citationsMedical physics. 2026;53(5):e70500
The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.41532835 · Richards, Tyler J, Flanders, Adam E, Colak, Errol et al.2026 · 3 citationsRadiology. Artificial intelligence. 2026;8(2):e250480
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
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data.39989910 · Kim, Sejin, Kazmierski, Michal, Qu, Kevin et al.2025 · 1 citationF1000Research. 2023;12:118
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
Radiomic-Based Approaches in the Multi-metastatic Setting: A Quantitative Review.39006417 · Geady, Caryn, Patel, Hemangini, Peoples, Jacob et al.2025 · 6 citationsmedRxiv : the preprint server for health sciences. 2024
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction.38861067 · Wiedeman, Christopher, Lorraine, Peter, Wang, Ge et al.2024 · 5 citationsVisual computing for industry, biomedicine, and art. 2024;7(1):13
Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases.38321027 · Simpson, Amber L, Peoples, Jacob, Creasy, John M et al.2024 · 47 citationsScientific data. 2024;11(1):172
Mechanisms of Exercise Intolerance Across the Breast Cancer Continuum: A Pooled Analysis of Individual Patient Data.38485730 · Scott, Jessica M, Lee, Jasme, Michalski, Meghan G et al.2024 · 6 citationsMedicine and science in sports and exercise. 2024;56(4):590-599
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
Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy.36148155 · Hu, Ricky, Chen, Ishita, Peoples, Jacob et al.2026 · 18 citationsPhysics and imaging in radiation oncology. 2022;24:36-42
A primer on texture analysis in abdominal radiology.34825946 · Horvat, Natally, Miranda, Joao, El Homsi, Maria et al.2022 · 21 citationsAbdominal radiology (New York). 2022;47(9):2972-2985
Deformable multimodal registration for navigation in beating-heart cardiac surgery.30888597 · Peoples, Jacob J, Bisleri, Gianluigi, Ellis, Randy E2019 · 18 citationsInternational journal of computer assisted radiology and surgery. 2019;14(6):955-966
Career total: 38 works. 22 are in this corpus.
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