Publications by authors named "Jacob Peoples"

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Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data.
Sejin Kim, Michal Kazmierski, Kevin Qu, Jacob Peoples, Minoru Nakano

F1000Res· July 2025

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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Jacob J Peoples

Nat Commun· July 2025

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Radiomic-based approaches in the multi-metastatic setting: a quantitative review.
Caryn Geady, Hemangini Patel, Jacob Peoples, Amber Simpson, Benjamin Haibe-Kains

BMC Cancer· March 2025

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Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases.
Jacob J Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai

J Mach Learn Biomed Imaging· January 2025

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Radiomic-Based Approaches in the Multi-metastatic Setting: A Quantitative Review.
Caryn Geady, Hemangini Patel, Jacob Peoples, Amber Simpson, Benjamin Haibe-Kains

medRxiv· July 2024

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Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction.
Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard Do, Amber Simpson, Jacob Peoples

Vis Comput Ind Biomed Art· June 2024

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Mechanisms of Exercise Intolerance Across the Breast Cancer Continuum: A Pooled Analysis of Individual Patient Data.
Jessica M Scott, Jasme Lee, Meghan G Michalski, Karen Batch, Amber L Simpson, Jacob Peoples

Med Sci Sports Exerc· April 2024

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Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases.
Amber L Simpson, Jacob Peoples, John M Creasy, Gabor Fichtinger, Natalie Gangai

Sci Data· February 2024

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The RSNA Cervical Spine Fracture CT Dataset.
Hui Ming Lin, Errol Colak, Tyler Richards, Felipe C Kitamura, Luciano M Prevedello, Jacob J Peoples

Radiol Artif Intell· September 2023

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Author Correction: Federated learning enables big data for rare cancer boundary detection.
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, Jacob J Peoples

Nat Commun· January 2023

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Federated learning enables big data for rare cancer boundary detection.
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, Jacob J Peoples

Nat Commun· December 2022

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Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy.
Ricky Hu, Ishita Chen, Jacob Peoples, Jean-Paul Salameh, Mithat Gönen

Phys Imaging Radiat Oncol· October 2022

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A primer on texture analysis in abdominal radiology.
Natally Horvat, Joao Miranda, Maria El Homsi, Jacob J Peoples, Niamh M Long

Abdom Radiol (NY)· September 2022

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Deformable multimodal registration for navigation in beating-heart cardiac surgery.
Jacob J Peoples, Gianluigi Bisleri, Randy E Ellis

Int J Comput Assist Radiol Surg· June 2019

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