Found: 29
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Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features.
- Published in:
- PLoS ONE, 2018, v. 13, n. 1, p. 1, doi. 10.1371/journal.pone.0189634
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- Publication type:
- Article
Towards clinical prostate ultrasound elastography using full inversion approach.
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- Medical Physics, 2014, v. 41, n. 3, p. 1, doi. 10.1118/1.4864476
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- Publication type:
- Article
Quantitative ultrasound characterization of locally advanced breast cancer by estimation of its scatterer properties.
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- Medical Physics, 2014, v. 41, n. 1, p. n/a, doi. 10.1118/1.4852875
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- Publication type:
- Article
Low-frequency quantitative ultrasound imaging of cell death in vivo.
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- Medical Physics, 2013, v. 40, n. 8, p. 082901, doi. 10.1118/1.4812683
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- Publication type:
- Article
Toward in vivo lung's tissue incompressibility characterization for tumor motion modeling in radiation therapy.
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- Medical Physics, 2013, v. 40, n. 5, p. 051902, doi. 10.1118/1.4798461
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- Publication type:
- Article
CT image construction of a totally deflated lung using deformable model extrapolation.
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- Medical Physics, 2011, v. 38, n. 2, p. 872, doi. 10.1118/1.3531985
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- Publication type:
- Article
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning.
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- Genes, 2023, v. 14, n. 9, p. 1768, doi. 10.3390/genes14091768
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- Publication type:
- Article
Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade.
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- Current Oncology, 2021, v. 28, n. 6, p. 4298, doi. 10.3390/curroncol28060366
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- Publication type:
- Article
Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients.
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- Breast Cancer Research & Treatment, 2021, v. 186, n. 2, p. 379, doi. 10.1007/s10549-020-06093-4
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- Publication type:
- Article
A hierarchical self‐attention‐guided deep learning framework to predict breast cancer response to chemotherapy using pre‑treatment tumor biopsies.
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- Medical Physics, 2023, v. 50, n. 12, p. 7852, doi. 10.1002/mp.16574
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- Publication type:
- Article
A novel tissue mechanics-based method for improved motion tracking in quasi-static ultrasound elastography.
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- Medical Physics, 2023, v. 50, n. 4, p. 2176, doi. 10.1002/mp.16110
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- Publication type:
- Article
Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI‐based deep learning features.
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- Medical Physics, 2022, v. 49, n. 11, p. 7167, doi. 10.1002/mp.15814
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- Publication type:
- Article
Early detection of chemotherapy-refractory patients by monitoring textural alterations in diffuse optical spectroscopic images.
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- Medical Physics, 2015, v. 42, n. 11, p. 6130, doi. 10.1118/1.4931603
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- Publication type:
- Article
Assessment of tumor response to radiation and vascular targeting therapy in mice using quantitative ultrasound spectroscopy.
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- Medical Physics, 2015, v. 42, n. 8, p. 4965, doi. 10.1118/1.4926554
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- Publication type:
- Article
Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi‐institutional study.
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- Cancer Medicine, 2020, v. 9, n. 16, p. 5798, doi. 10.1002/cam4.3255
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- Publication type:
- Article
A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-67823-8
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- Publication type:
- Article
An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-64912-6
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- Publication type:
- Article
Quantitative MRI Biomarkers of Stereotactic Radiotherapy Outcome in Brain Metastasis.
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- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-019-56185-5
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- Publication type:
- Article
Quantitative Ultrasound Characterization of Tumor Cell Death: Ultrasound-Stimulated Microbubbles for Radiation Enhancement.
- Published in:
- PLoS ONE, 2014, v. 9, n. 7, p. 1, doi. 10.1371/journal.pone.0102343
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- Publication type:
- Article
A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound.
- Published in:
- Scientific Reports, 2017, p. 45733, doi. 10.1038/srep45733
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- Publication type:
- Article
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results.
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- PLoS ONE, 2020, v. 15, n. 7, p. 1, doi. 10.1371/journal.pone.0236182
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- Publication type:
- Article
Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-94004-y
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- Publication type:
- Article
A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-87496-1
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- Publication type:
- Article
Impact of Tumour Segmentation Accuracy on Efficacy of Quantitative MRI Biomarkers of Radiotherapy Outcome in Brain Metastasis.
- Published in:
- Cancers, 2022, v. 14, n. 20, p. 5133, doi. 10.3390/cancers14205133
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- Publication type:
- Article
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-13917-4
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- Publication type:
- Article
Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-06100-2
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- Publication type:
- Article
A priori prediction of local failure in brain metastasis after hypo-fractionated stereotactic radiotherapy using quantitative MRI and machine learning.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-01024-9
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- Publication type:
- Article
Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility study.
- Published in:
- Frontiers in Oncology, 2024, p. 01, doi. 10.3389/fonc.2024.1273437
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- Publication type:
- Article
Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis.
- Published in:
- 2017
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- Publication type:
- journal article