Gary J. Whitman
Affiliations: | Electrical Engineering | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Electronics and Electrical Engineering, Biomedical Engineering, RadiologyGoogle:
"Gary Whitman"
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Chung HL, Middleton LP, Sun J, et al. (2024) Immediate and delayed risk of breast cancer associated with classic lobular carcinoma in situ and its variants. Breast Cancer Research and Treatment |
| Lee MV, Katzen JT, Al-Khalili R, et al. (2024) Breast Imaging Fellowship Match: Applicants' Perspectives of Years Two and Three. Journal of Breast Imaging. 2: 471-477 |
| Musall BC, Rauch DE, Mohamed RMM, et al. (2024) Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy. Journal of Magnetic Resonance Imaging : Jmri |
| Katzen J, Nguyen J, Zuckerman S, et al. (2024) Breast Imaging Fellowship Virtual Interviews: The Program Director's Perspective. Journal of Breast Imaging. 6: 80-85 |
| Nakhlis F, Niman SM, Ueno NT, et al. (2023) Clinical outcomes after 1 versus 2-3 lines of neoadjuvant therapy in stage III inflammatory breast cancer. Breast Cancer Research and Treatment |
| Akpolat YT, Dryden MJ, Scoggins ME, et al. (2023) Imaging Features Following Breast Explant Surgery: A Pictorial Essay. Diagnostics (Basel, Switzerland). 13 |
| Baughan N, Li H, Lan L, et al. (2023) Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect. Journal of Medical Imaging (Bellingham, Wash.). 10: 044501 |
| Li H, Robinson K, Lan L, et al. (2023) Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction. Cancers. 15 |
| Shin J, Kapoor M, Patel M, et al. (2023) Comparing Breast Hemangiomas to Breast Angiosarcomas: An Imaging Based Review. Current Problems in Diagnostic Radiology |
| Zhou Z, Adrada BE, Candelaria RP, et al. (2023) Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI. Scientific Reports. 13: 1171 |