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Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced radiation dose on an external dataset.
- Published in:
- Medical Physics, 2021, v. 48, n. 5, p. 2468, doi. 10.1002/mp.14782
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- Publication type:
- Article
Complete abdomen and pelvis segmentation using U‐net variant architecture.
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- Medical Physics, 2020, v. 47, n. 11, p. 5609, doi. 10.1002/mp.14422
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- Publication type:
- Article
A quantitative symmetry-based analysis of hyperacute ischemic stroke lesions in noncontrast computed tomography.
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- Medical Physics, 2017, v. 44, n. 1, p. 192, doi. 10.1002/mp.12015
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- Publication type:
- Article
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas.
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- Medical Physics, 2016, v. 43, n. 6, p. 2835, doi. 10.1118/1.4948668
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- Publication type:
- Article
Increased signal intensity within glioblastoma resection cavities on fluid-attenuated inversion recovery imaging to detect early progressive disease in patients receiving radiotherapy with concomitant temozolomide therapy.
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- Neuroradiology, 2018, v. 60, n. 1, p. 35, doi. 10.1007/s00234-017-1941-9
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- Article
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
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- Journal of Digital Imaging, 2023, v. 36, n. 4, p. 1770, doi. 10.1007/s10278-023-00804-1
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- Publication type:
- Article
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.
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- Journal of Digital Imaging, 2021, v. 34, n. 5, p. 1183, doi. 10.1007/s10278-021-00465-y
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- Publication type:
- Article
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
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- Journal of Digital Imaging, 2019, v. 32, n. 4, p. 571, doi. 10.1007/s10278-019-00232-0
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- Publication type:
- Article
Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.
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- Journal of Digital Imaging, 2018, v. 31, n. 2, p. 252, doi. 10.1007/s10278-017-0020-4
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- Publication type:
- Article
Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.
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- Journal of Digital Imaging, 2017, v. 30, n. 5, p. 622, doi. 10.1007/s10278-017-0009-z
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- Publication type:
- Article
Toolkits and Libraries for Deep Learning.
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- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 400, doi. 10.1007/s10278-017-9965-6
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- Publication type:
- Article
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
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- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 442, doi. 10.1007/s10278-017-9978-1
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- Publication type:
- Article
The basics of diffusion and perfusion imaging in brain tumors.
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- Applied Radiology, 2014, v. 43, n. 7, p. 22, doi. 10.37549/ar2093
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- Publication type:
- Article
Utilizing Magnetization Transfer Imaging to Investigate Tissue Remodeling in a Murine Model of Autosomal Dominant Polycystic Kidney Disease.
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- Magnetic Resonance in Medicine, 2016, v. 75, n. 4, p. 1466, doi. 10.1002/mrm.25701
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- Publication type:
- Article
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge.
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- Tomography: A Journal for Imaging Research, 2020, v. 6, n. 2, p. 203, doi. 10.18383/j.tom.2020.00012
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- Publication type:
- Article
COMP-05. EVALUATION OF A DEEP LEARNING ARCHITECTURE FOR MRI PREDICTION OF IDH, 1p19q AND TERT IN GLIOMA PATIENTS.
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- Neuro-Oncology, 2018, v. 20, p. vi64, doi. 10.1093/neuonc/noy148.260
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- Publication type:
- Article
Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.
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- Abdominal Radiology, 2024, v. 49, n. 10, p. 3722, doi. 10.1007/s00261-024-04301-z
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- Publication type:
- Article
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods.
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- Abdominal Radiology, 2024, v. 49, n. 3, p. 964, doi. 10.1007/s00261-023-04127-1
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- Publication type:
- Article
Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study.
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- Abdominal Radiology, 2022, v. 47, n. 11, p. 3806, doi. 10.1007/s00261-022-03668-1
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- Publication type:
- Article
Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase.
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- Abdominal Radiology, 2020, v. 45, n. 12, p. 4302, doi. 10.1007/s00261-020-02741-x
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- Publication type:
- Article
Quantitative MRI of kidneys in renal disease.
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- Abdominal Radiology, 2018, v. 43, n. 3, p. 629, doi. 10.1007/s00261-017-1236-y
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- Publication type:
- Article
Automatic total kidney volume measurement on follow-up magnetic resonance images to facilitate monitoring of autosomal dominant polycystic kidney disease progression.
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- Nephrology Dialysis Transplantation, 2016, v. 31, n. 2, p. 241, doi. 10.1093/ndt/gfv314
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- Publication type:
- Article
Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging.
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- Cancer Imaging, 2015, v. 15, n. 1, p. 1, doi. 10.1186/s40644-015-0047-z
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- Publication type:
- Article
Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging.
- Published in:
- Cancer Imaging, 2015, v. 15, n. 1, p. 12, doi. 10.1186/s40644-015-0047-z
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- Publication type:
- Article
Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging.
- Published in:
- 2015
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- Publication type:
- journal article
The impact of Platelet Rich Plasma (PRP) in osseointegration of oral implants in dental panoramic radiography: texture based evaluation.
- Published in:
- Clinical Cases in Mineral & Bone Metabolism, 2014, v. 11, n. 1, p. 59
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- Publication type:
- Article