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1.
Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
Eur Radiol
; 34(4): 2576-2589, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-37782338
2.
Four-Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic Contrast-Enhanced MRI.
J Magn Reson Imaging
; 57(1): 97-110, 2023 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35633290
3.
Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors.
J Med Imaging (Bellingham)
; 11(1): 014001, 2024 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-38162417
4.
Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast-enhanced mammography and breast tomosynthesis.
Med Phys
; 51(2): 712-739, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38018710
5.
Deep learning for x-ray scatter correction in dedicated breast CT.
Med Phys
; 50(4): 2022-2036, 2023 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-36565012
6.
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head.
Diagnostics (Basel)
; 13(20)2023 Oct 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-37892019
7.
Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis.
Med Phys
; 49(8): 5423-5438, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-35635844
8.
Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast parenchyma.
Med Phys
; 48(3): 1436-1447, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-33452822
9.
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features.
J Med Imaging (Bellingham)
; 8(2): 024501, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-33796604
10.
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
Med Image Anal
; 71: 102061, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-33910108
11.
Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging.
Med Phys
; 48(1): 313-328, 2021 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-33232521
12.
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence.
Comput Biol Med
; 118: 103629, 2020 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-32174316
13.
Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Comput Methods Programs Biomed
; 191: 105387, 2020 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-32109685
14.
Towards 4D dedicated breast CT perfusion imaging of cancer: development and validation of computer simulated images.
Phys Med Biol
; 64(24): 245004, 2019 12 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-31703216
15.
Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography system.
Med Phys
; 2018 Jun 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-29956334
16.
Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imaging.
Med Phys
; 45(10): 4448-4460, 2018 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-30151857
17.
An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.
Med Phys
; 45(6): 2542-2559, 2018 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-29676025
18.
Development of 3D patient-based super-resolution digital breast phantoms using machine learning.
Phys Med Biol
; 63(22): 225017, 2018 11 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-30418943
19.
Internal breast dosimetry in mammography: Experimental methods and Monte Carlo validation with a monoenergetic x-ray beam.
Med Phys
; 45(4): 1724-1737, 2018 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-29405311
20.
Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis.
Phys Med Biol
; 64(1): 015003, 2018 12 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-30524034