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Novel radiomics approach for survival prediction and riskstratification in glioma using MRI

• Authors : Walid, Dandachly; Benjamin, Leporq; Frank, Pilleul ...

Subjects: Glioblastoma; Survival; PredicitonSaint-malo; France

• Source: Société Française de Résonance Magnétique en Biologie et Médecine ; https://hal.science/hal-05233528 ; Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2025,

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Reproducibility and Repeatability of Coronary Computed Tomography Angiography (CCTA) Image Segmentation in Detecting Atherosclerosis: A Radiomics Study.

• Authors : Yunus, Mardhiyati Mohd^1,2 (AUTHOR); Sabarudin, Akmal¹ (AUTHOR); Karim, Muhammad Khalis Abdul³ (AUTHOR)

• Source: Diagnostics (2075-4418). Aug2022, Vol. 12 Issue 8, p2007-N.PAG. 17p.

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Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer

• Authors : Andrearczyk, V.; Fontaine, P.; Oreiller, V. ...

Subjects: Automatic segmentation; Deep learning; Head and neck cancerStrasbourg; France

• Source: 4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention,

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IMPACT OF MULTICENTER HARMONIZATION ON THE DETECTION OF RADIONECROSIS IN MULTIMODAL MRI RADIOMICS STUDY

• Authors : Acquitter, Clément; Lemasson, Benjamin; Moyal, Elizabeth ...

Subjects: radiomics; multi-modal MRI; harmonizationFranceNice (virtual), France

• Source: International Symposium on Biomedical Imaging ; https://hal.science/hal-03178208 ; International Symposium on Biomedical Imaging, Apr 2021, Nice (virtual), France

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Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer

• Authors : Liu, Mingtian; Hatami, Nima; Mechtouff, Laura ...

Subjects: Multimodal fusion; Radiomics; Tabular transformerHouston; FranceHouston, France

• Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)https://hal.science/hal-053037992025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), Apr 2025, Houston,

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Could 18-FDG PET-CT Radiomic Features Predict the Locoregional Progression-Free Survival in Inoperable or Unresectable Oesophageal Cancer?

• Authors : De Bari, Berardino^1,2 (AUTHOR) ; Lefevre, Loriane^2,3 (AUTHOR); Henriques, Julie^4,5 (AUTHOR)

• Source: Cancers. Aug2022, Vol. 14 Issue 16, p4043. 17p.

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Tumor State-Space Network for High and Low Grade Glioma Classification

• Authors : Chen, Qijian; Wang, Lihui; Deng, Zeyu ...

Subjects: glioma grading; T2-weighted image; T1contrast enhanced imageSuzhou; France

• Source: IEEE 17th International Conference on Signal Processing (ICSP 2024) ; https://hal.science/hal-05051302 ; IEEE 17th International Conference on Signal Processing (ICSP 2024), Oct 2024, Suzhou,

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Correlating 68Ga-PSMA PET/CT Imaging Features with PSA Variation for Castration-Resistant Prostate Cancer Patients

• Authors : Rios Sanchez, Eduardo; Sarrut, David; Badel, Jean‐noël ...

Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingVienna (AUSTRIA); France

• Source: EANM 2024 ; https://hal.science/hal-04894325 ; EANM 2024, Sep 2023, Vienna (AUSTRIA), France

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Prediction performance of radiomic features when obtained using an object detection framework

• Authors : Chegraoui, Hamza; Rebei, Amine; Philippe, Cathy ...

Subjects: [MATH]Mathematics [math]; [INFO]Computer Science [cs]; [SDV]Life Sciences [q-bio]Nice; FranceNice, France

• Source: isbi 2021 ; IEEE ISBI 2021 - International Symposium on Biomedical Imaging ; https://cea.hal.science/cea-03162316 ; IEEE ISBI 2021 - International Symposium on Biomedical Imaging, Apr 2021, Nice,

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Leveraging Random Survival Forest (RSF) and PET images for prognosis of Multiple Myeloma at diagnosis

• Authors : Morvan, Ludivine; Carlier, Thomas; Bailly, Clément ...

Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Rennes; France

• Source: International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) ; https://hal.science/hal-02174921 ; International Conference on Information Processing in

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