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Boosting Cardiac Color Doppler Frame Rates with Deep Learning

Subjects: Color Doppler; Aliasing mitigation; Echocardiography

  • Source: https://hal.science/hal-04495325 ; 2024.

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Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection

Subjects: Deep Learning; Natural language processing; Controllable text generationLouvain-la-Neuve; Belgium

  • Source: Advances in Intelligent Data Analysis XXI. IDA 2023. Lecture Notes in Computer Science, vol 13876. ; IDA 2023: Advances in Intelligent Data Analysis XXI ; https://ujm.hal.science/ujm-04165556 ; IDA

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PWML Detection in 3D Cranial Ultrasound Volumes using Over-segmentation and Multimodal Classification with Deep Learning

Subjects: Deep Learning Automatic Anomaly Detection 3D Ultrasound Imaging White Matter Injury U-Net; Deep Learning; Automatic Anomaly DetectionCartagena; Colombia

  • Source: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)https://hal.science/hal-042283592023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Apr 2023, Cartagena,

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Deep learning for bone segmentation: towards automating failure load simulations

Subjects: bone segmentation; CT-scan; deep learningGrenoble; France

  • Source: Computer Methods in Biomechanics and Biomedical Engineering ; 48e Congrès de la Société de Biomécanique ; https://hal.science/hal-04288748 ; 48e Congrès de la Société de Biomécanique, Oct

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Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?

Subjects: Ultrasound; cardiac segmentation; temporal segmentationLyon; France

  • Source: Functional Imaging and Modeling of the Heart ; https://hal.science/hal-04087268 ; Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France

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MSE * * : Multi-modal semantic embeddings for datasets with several positive matchings ; MSE **: Plongement sémantique multi-modal pour des ensembles de données avec plusieurs appariement positifs

Subjects: Deep Learning; Contrastive Learning; Triplet Loss

  • Source: Semantic AI in Knowledge Graphs ; https://hal.science/hal-04166570 ; Sanju Tiwari; Fernando Ortiz Rodriguez; Sarra Ben Abbes; Patience Usoro Usip; Rim Hantach. Semantic AI in Knowledge Graphs, Taylor

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REPRODUCIBILITY OF TUMOR SEGMENTATION OUTCOMES WITH A DEEP LEARNING MODEL

Subjects: Reproducibililty; Deep Learning; Numerical (in)stabilityCartagena de Indias; Colombia

  • Source: International Symposium on Biomedical Imaging (ISBI) ; https://hal.science/hal-04006057 ; International Symposium on Biomedical Imaging (ISBI), Apr 2023, Cartagena de Indias, Colombia

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BENet: A lightweight bottom-up framework for context-aware emotion recognition

Subjects: Emotion recognition; Detection; Bottom-UpKumamoto; JapanKumamoto, Japan

  • Source: Lecture Notes in Computer Science - Advanced Concepts for Intelligent Vision Systems ; ACIVS 2023 (Advanced Concepts for Intelligent Vision Systems) ; https://ujm.hal.science/ujm-04194014 ; ACIVS 2023

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Approximate Bayesian denoising for deep image reconstruction in the presence of signal-dependent noise

Subjects: Image reconstruction; deep learning; unfolded networkGrenoble; France

  • Source: XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23) ; https://hal.science/hal-03639347 ; XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23),

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Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients

Subjects: Anomaly detection; Neuroimaging; Deep learningCartegena de Indias; Colombia

  • Source: IEEE publisher ; ISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging ; https://hal.science/hal-03998623 ; ISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging, Apr 2023,

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  • 1-10 of  105 results for ""Deep learning""