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MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study
European radiology experimental, 2022-05, Vol.6 (1), p.19-19, Article 19
2022
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Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
European radiology experimental, 2020-11, Vol.4 (1), p.62-62, Article 62
2020
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A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation
Frontiers in oncology, 2021-10, Vol.11, p.718155-718155
2021
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Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases
Cancers, 2022-01, Vol.14 (1), p.241
2022
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Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice
Diagnostics (Basel), 2021-04, Vol.11 (5), p.756
2021
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Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses
IEEE open journal of engineering in medicine and biology, 2023-01, Vol.4, p.1-11
2023
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Standardization of CT radiomics features for multi-center analysis: impact of software settings and parameters
Physics in medicine & biology, 2020-10, Vol.65 (19), p.195012-195012
2020
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Liver metastases: The role of magnetic resonance imaging
World journal of gastroenterology : WJG, 2023-09, Vol.29 (36), p.5180-5197
2023
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Abstract 1412: CT texture analysis to predict response to target therapy of hepatic metastases from colorectal cancer
Cancer research (Chicago, Ill.), 2019-07, Vol.79 (13_Supplement), p.1412-1412
2019
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Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer
European radiology, 2024-01, Vol.34 (8), p.5108-5117
2024
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Radiomics predicts response of individual HER2‐amplified colorectal cancer liver metastases in patients treated with HER2‐targeted therapy
International journal of cancer, 2020-12, Vol.147 (11), p.3215-3223
2020
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Virtual biopsy in abdominal pathology: where do we stand?
BJR open, 2023-02, Vol.5 (1), p.20220055-20220055
2023
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Radiomics features on CT scans to predict response to HER2-targeted therapy of hepatic metastases from colorectal cancer
Journal of clinical oncology, 2019-05, Vol.37 (15_suppl), p.e15086-e15086
2019
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Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE), 2023, p.393-396
2023
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Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022, p.1-6
2022
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A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022, p.1-6
2022
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An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.1339-1342
2020
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Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.3370-3373
2021
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Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.3374-3377
2021
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Artificial Intelligence in Oncologic Imaging
Multimodality Imaging and Intervention in Oncology, 2023, p.585-597
2023
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A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.1675-1678
2020
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Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.3305-3308
2021
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A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, Vol.2022, p.5066-5069
2022
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Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, p.1-5
2020
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