2025
Huemann Z, Church SD, Warner JD, Tran D, Tie X, McMillan AB, Hu J, Cho SY, Lubner M, Bradshaw TJ. Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings. arXiv:2502.00528 [cs.CV].
Bartley M, Huemann Z, Hu J, Tie X, Ross AB, Kennedy T, Warner JD, Bradshaw TJ, Lawrence EM. Artificial Intelligence for Teaching Case Curation: Evaluating Model Performance on Imaging Report Discrepancies. Academic Radiology. https://doi.org/10.1016/j.acra.2025.02.011
Bradshaw TJ, Tie X, Warner J, Hu J, Li Q, Li X. Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians. Journal of Nuclear Medicine. jnumed.124.268072.
2024
Tie X, Chen W, Huemann H, Schott B, Liu N, Bradshaw TJ. Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer. arXiv preprint arXiv:2412.00663
Ossowski T, Chen J, Maqbool D, Cai Z, Bradshaw TJ, Hu J. COMMA: A Communicative Multimodal Multi-Agent Benchmark. arXiv:2410.07553 [cs.AI]
Tie X, Shin M, Lee C, Perlman SB, Huemann Z, Weisman AJ, Castellino SM, Kelly KM, McCarten KM, Alazraki AL, Hu J, Cho SY, Bradshaw TJ. Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. ArXiv . 2024 Apr 12:arXiv:2404.08611v1.
Huemann Z, Tie X, Hu J, Bradshaw TJ. ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. J Imaging Inform Med. 2024 Mar 14;. doi: 10.1007/s10278-024-01051-8. [Epub ahead of print] PubMed PMID: 38485899.
Tie X, Shin M, Pirasteh A, Ibrahim N, Huemann Z, Castellino SM, Kelly KM, Garrett J, Hu J, Cho SY, Bradshaw TJ. Personalized Impression Generation for PET Reports Using Large Language Models. J Imaging Inform Med. 2024 Feb 2;. doi: 10.1007/s10278-024-00985-3. [Epub ahead of print] PubMed PMID: 38308070.
Yousefirizi F, Klyuzhin IS, O JH, Harsini S, Tie X, Shiri I, Shin M, Lee C, Cho SY, Bradshaw TJ, Zaidi H, Bénard F, Sehn LH, Savage KJ, Steidl C, Uribe CF, Rahmim A. TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis. Eur J Nucl Med Mol Imaging 51, 1937–1954 (2024). https://doi.org/10.1007/s00259-024-06616-x
2023
Huemann Z, Lee C, Hu J, Cho SY, Bradshaw TJ. Domain-adapted Large Language Models for Classifying Nuclear Medicine Reports. Radiol Artif Intell. 2023 Nov;5(6):e220281. doi: 10.1148/ryai.220281. eCollection 2023 Nov. PubMed PMID: 38074793; PubMed Central PMCID: PMC10698610.
Bradshaw TJ, Huemann Z, Hu J, Rahmim A. A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging. Radiol Artif Intell. 2023 Jul;5(4):e220232. doi: 10.1148/ryai.220232. eCollection 2023 Jul. Review. PubMed PMID: 37529208; PubMed Central PMCID: PMC10388213.
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Saboury B, Bradshaw T, Boellaard R, Buvat I, Dutta J, Hatt M, Jha AK, Li Q, Liu C, McMeekin H, Morris MA, Scott PJH, Siegel E, Sunderland JJ, Pandit-Taskar N, Wahl RL, Zuehlsdorff S, Rahmim A. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. J Nucl Med. 2023 Feb;64(2):188-196. doi: 10.2967/jnumed.121.263703. Epub 2022 Dec 15. PubMed PMID: 36522184; PubMed Central PMCID: PMC9902852.
Hatt M, Krizsan AK, Rahmim A, Bradshaw TJ, Costa PF, Forgacs A, Seifert R, Zwanenburg A, El Naqa I, Kinahan PE, Tixier F, Jha AK, Visvikis D. Joint EANM/SNMMI guideline on radiomics in nuclear medicine : Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data Sciences Council. Eur J Nucl Med Mol Imaging. 2023 Jan;50(2):352-375. doi: 10.1007/s00259-022-06001-6. Epub 2022 Nov 3. PubMed PMID: 36326868; PubMed Central PMCID: PMC9816255.
2022
Jha AK, Bradshaw TJ, Buvat I, Hatt M, Kc P, Liu C, Obuchowski NF, Saboury B, Slomka PJ, Sunderland JJ, Wahl RL, Yu Z, Zuehlsdorff S, Rahmim A, Boellaard R. Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines). J Nucl Med. 2022 Sep;63(9):1288-1299. doi: 10.2967/jnumed.121.263239. Epub 2022 May 26. PubMed PMID: 35618476; PubMed Central PMCID: PMC9454473.
Bradshaw TJ, Boellaard R, Dutta J, Jha AK, Jacobs P, Li Q, Liu C, Sitek A, Saboury B, Scott PJH, Slomka PJ, Sunderland JJ, Wahl RL, Yousefirizi F, Zuehlsdorff S, Rahmim A, Buvat I. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. J Nucl Med. 2022 Apr;63(4):500-510. doi: 10.2967/jnumed.121.262567. Epub 2021 Nov 5. PubMed PMID: 34740952; PubMed Central PMCID: PMC10949110.
2021
Bradshaw TJ, McMillan AB. Anatomy and Physiology of Artificial Intelligence in PET Imaging. PET Clin. 2021 Oct;16(4):471-482. doi: 10.1016/j.cpet.2021.06.003. Epub 2021 Aug 5. Review. PubMed PMID: 34364817.
McMillan AB, Bradshaw TJ. Artificial Intelligence-Based Data Corrections for Attenuation and Scatter in Position Emission Tomography and Single-Photon Emission Computed Tomography. PET Clin. 2021 Oct;16(4):543-552. doi: 10.1016/j.cpet.2021.06.010. Epub 2021 Aug 5. Review. PubMed PMID: 34364816; PubMed Central PMCID: PMC10562009.
Wallis JW, Klein R, Bradshaw TJ, Catana C, Hatt M, Laforest R, Liu C, Mawlawi O, McCall KC, Osborne DR, Tang J, Wells RG, Ghesani M. Guidelines on Setting Up Stations for Remote Viewing of Nuclear Medicine and Molecular Imaging Studies During COVID-19. J Nucl Med Technol. 2021 Mar;49(1):2-6. doi: 10.2967/jnmt.120.261890. Epub 2020 Dec 30. PubMed PMID: 33380520.
2020
Weisman AJ, Kim J, Lee I, McCarten KM, Kessel S, Schwartz CL, Kelly KM, Jeraj R, Cho SY, Bradshaw TJ. Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients. EJNMMI Phys. 2020 Dec 14;7(1):76. doi: 10.1186/s40658-020-00346-3. PubMed PMID: 33315178; PubMed Central PMCID: PMC7736382.
Weisman AJ, Bradshaw TJ, Namias M, Jeraj R. Impact of scanner harmonization on PET-based treatment response assessment in metastatic melanoma. Phys Med Biol. 2020 Dec 7;65(22):225003. doi: 10.1088/1361-6560/abb6bb. PubMed PMID: 32906111.
Weisman AJ, Kieler MW, Perlman S, Hutchings M, Jeraj R, Kostakoglu L, Bradshaw TJ. Comparison of 11 automated PET segmentation methods in lymphoma. Phys Med Biol. 2020 Nov 27;65(23):235019. doi: 10.1088/1361-6560/abb6bd. PubMed PMID: 32906088.
Weisman AJ, Kieler MW, Perlman SB, Hutchings M, Jeraj R, Kostakoglu L, Bradshaw TJ. Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with Lymphoma. Radiol Artif Intell. 2020 Sep;2(5):e200016. doi: 10.1148/ryai.2020200016. 2020 Sep. PubMed PMID: 33937842; PubMed Central PMCID: PMC8082306.
prior to 2020
Perk T, Bradshaw T, Chen S, Im HJ, Cho S, Perlman S, Liu G, Jeraj R. Automated classification of benign and malignant lesions in (18)F-NaF PET/CT images using machine learning. Phys Med Biol. 2018 Nov 20;63(22):225019. doi: 10.1088/1361-6560/aaebd0. PubMed PMID: 30457118.
Liu F, Jang H, Kijowski R, Zhao G, Bradshaw T, McMillan AB. A deep learning approach for (18)F-FDG PET attenuation correction. EJNMMI Phys. 2018 Nov 12;5(1):24. doi: 10.1186/s40658-018-0225-8. PubMed PMID: 30417316; PubMed Central PMCID: PMC6230542.
Bradshaw TJ, Zhao G, Jang H, Liu F, McMillan AB. Feasibility of Deep Learning-Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images. Tomography. 2018 Sep;4(3):138-147. doi: 10.18383/j.tom.2018.00016. PubMed PMID: 30320213; PubMed Central PMCID: PMC6173790.
Jang H, Liu F, Bradshaw T, McMillan AB. Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR. Magn Reson Med. 2018 Jun;79(6):2912-2922. doi: 10.1002/mrm.26953. Epub 2017 Oct 2. PubMed PMID: 28971513; PubMed Central PMCID: PMC5843521.
Jang H, Liu F, Zhao G, Bradshaw T, McMillan AB. Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging. Med Phys. 2018 May 15;. doi: 10.1002/mp.12964. [Epub ahead of print] PubMed PMID: 29763997; PubMed Central PMCID: PMC6443501.
Im HJ, Bradshaw T, Solaiyappan M, Cho SY. Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?. Nucl Med Mol Imaging. 2018 Feb;52(1):5-15. doi: 10.1007/s13139-017-0493-6. Epub 2017 Sep 19. Review. PubMed PMID: 29391907; PubMed Central PMCID: PMC5777960.
Liu F, Jang H, Kijowski R, Bradshaw T, McMillan AB. Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging. Radiology. 2018 Feb;286(2):676-684. doi: 10.1148/radiol.2017170700. Epub 2017 Sep 19. PubMed PMID: 28925823; PubMed Central PMCID: PMC5790303.