Research output per year
Research output per year
Personal profile
Research interests
Dr. Gastounioti is developing a research program on translational breast imaging research towards prediction, early diagnosis, prognosis, and response to treatment for breast cancer. Her research combines elements of computational breast image analysis, artificial intelligence, and informatics, to build technologies with a potential for clinical impact in advancing breast cancer screening and prevention strategies.
Mentoring
Dr. Gastounioti is actively looking for motivated students, postdoctoral researchers, and medical trainees interested in computational breast imaging research and artificial intelligence. We are dedicated to maintaining a vibrant and diverse working environment and to providing as many opportunities as possible for young trainees to pursue their scientific and professional goals.
Available to Mentor:
- Undergraduate Students
- PhD/MSTP Students
- Postdocs
- Residents and Fellows
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Advancing Volumetric Breast Density Segmentation: A Deep Learning Approach with Digital Breast Tomosynthesis
Doiphode, N., Ahluwalia, V. S., Mankowski, W. C., Cohen, E. A., Pati, S., Pantalone, L., Bakas, S., Brooks, A., Vachon, C. M., Conant, E. F., Gastounioti, A. & Kontos, D., 2024, 17th International Workshop on Breast Imaging, IWBI 2024. Giger, M. L., Whitney, H. M., Drukker, K. & Li, H. (eds.). SPIE, 131740O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13174).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials
Barufaldi, B., Gomes, J. V., Silva Filho, T. M., do Rêgo, T. G., Malheiros, Y., Vent, T. L., Gastounioti, A. & Maidment, A. D. A., Sep 2024, In: Pattern Recognition. 153, 110494.Research output: Contribution to journal › Article › peer-review
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Beyond Mammographic Density: A Computational Imaging Approach to Identify Effects of Early Adulthood Adiposity on Breast Parenchymal Tissue Patterns in Premenopausal Women
Gupta, S. D., Getz, K., Lopez, J. H., Bennett, D., Toriola, A. T. & Gastounioti, A., 2024, Medical Imaging 2024: Computer-Aided Diagnosis. Chen, W. & Astley, S. M. (eds.). SPIE, 1292722. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12927).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Breast density assessment via deep learning: Head-to-head model comparisons in full-field digital mammograms and synthetic mammograms
Anant, K., Lopez, J. H., Gupta, S. D., Bennett, D. L. & Gastounioti, A., 2024, Medical Imaging 2024: Computer-Aided Diagnosis. Chen, W. & Astley, S. M. (eds.). SPIE, 129270C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12927).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Changes in mammographic density and risk of breast cancer among a diverse cohort of women undergoing mammography screening
Gastounioti, A., Cohen, E. A., Pantalone, L., Ehsan, S., Vasudevan, S., Kurudi, A., Conant, E. F., Chen, J., Kontos, D. & McCarthy, A. M., Apr 2023, In: Breast Cancer Research and Treatment. 198, 3, p. 535-544 10 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations