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- 2024
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Mark
Deep learning performance on MRI prostate gland segmentation : evaluation of two commercially available algorithms compared with an expert radiologist
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- Contribution to journal › Article
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Mark
MRI morphological characteristics of lymph nodes in anal squamous cell carcinoma
2024) In Abdominal Radiology(
- Contribution to journal › Article
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Mark
Perceptions of surveillance with magnetic resonance imaging among women with a hereditary risk of breast cancer—A phenomenographic study
2024) In Journal of Advanced Nursing(
- Contribution to journal › Article
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Mark
Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation
2024) Medical Imaging 2024: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 12925.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy
(
- Contribution to journal › Article
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Mark
Developing ultrasound optical tomography for deep tissue imaging of the breast
2024) 17th International Workshop on Breast Imaging, IWBI 2024 In Proceedings of SPIE - The International Society for Optical Engineering 13174.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Breast cancer diagnosis using extended-wavelength diffuse reflectance spectroscopy : comparing tumor subgroups
2024) 17th International Workshop on Breast Imaging, IWBI 2024 In Proceedings of SPIE - The International Society for Optical Engineering 13174.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Optical tuning of copolymer-in-oil tissue-mimicking materials for multispectral photoacoustic imaging
(
- Contribution to journal › Article
- 2023
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Mark
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI
(
- Contribution to journal › Article
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Mark
Simulation of breast lesions based upon fractal Perlin noise
(
- Contribution to journal › Article