Jacob Peoples

10PUBLICATIONS
262CO-AUTHORS
Deep learningPredictive and prognostic markersSensory processes, perception and performanceRecommender systemsSemi- and unsupervised learning
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Publications (10)

|Jan 30, 2026
Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification.

Ramtin Mojtahedi, Mohammad Hamghalam, Jacob J Peoples

|Jan 15, 2026
Radiomic signatures from baseline CT predict chemotherapy response in unresectable colorectal liver metastases.

Mane Piliposyan, Jacob J Peoples, Mohammad Hamghalam

|Dec 15, 2025
Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases.

Jacob J Peoples, Mohammad Hamghalam, Imani James

|Jul 08, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Maximilian Zenk, Ujjwal Baid, Sarthak Pati

|Feb 24, 2025
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data.

Sejin Kim, Michal Kazmierski, Kevin Qu

|Feb 06, 2024
Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases.

Amber L Simpson, Jacob Peoples, John M Creasy

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Frequent Collaborators

6 joint publications

Amber L Simpson

4 joint publications

Richard K G Do

3 joint publications

Sarthak Pati

3 joint publications

Ujjwal Baid