Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification

Authors: Painchaud, Nathan, Stym-Popper, Jérémie, Courand, Pierre-Yves, Thome, Nicolas, Jodoin, Pierre-Marc, Duchateau, Nicolas, Bernard, Olivier

Contributors: Duchateau, Nicolas

Source: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 72:1388-1400

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer Vision and Pattern Recognition (cs.CV), Data models, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Adaptation models, Deep learning, 3. Good health, Machine Learning (cs.LG), Machine Learning, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Artificial Intelligence (cs.AI), Artificial Intelligence, Transformers, Medical services, Hypertension, Pathology, Feature extraction, Training, Computer Vision and Pattern Recognition, Data mining

Access URL: http://arxiv.org/abs/2401.07796

BSRPCA: A Simplified Blind Super-Resolved RPCA-Based Approach for Enhancing Blood Flow Estimation

Authors: Le, Xuan-Hieu, Remeniéras, Jean-Pierre, Kouamé, Denis, Pham, Duong-Hung

Contributors: PHAM, Duong-Hung

Source: 2025 IEEE International Conference on Image Processing (ICIP). :1097-1102

Subject Terms: Ultrasound, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Deconvolution, Ultrasound localization microscopy, [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], Super resolution

File Description: application/pdf

Access URL: https://hal.science/hal-05008877v1

Stiffness Perception Device Based on Skin-Stretch for Laparoscopic Surgery: Radial Palpation and Influence of the Fulcrum Effect

Authors: Saudrais, Charlélie, Bayle, Bernard, da Silva, Doris, Vitrani, Marie-Aude, Vérité, Fabien

Contributors: Univoak-Strasbourg, Admin HAL

Source: 2025 IEEE World Haptics Conference (WHC). :243-254

Subject Terms: [INFO.INFO-IM] Computer Science [cs]/Medical Imaging

Sketchpose: Learning to Segment Cells with Partial Annotations

Authors: Cazorla, Clément, Munier, Nathanaël, Morin, Renaud, Weiss, Pierre

Contributors: Cazorla, Clément

Source: Machine Learning for Biomedical Imaging. 3:367-381

Subject Terms: FOS: Computer and information sciences, Segmentation, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Distance map, Computer Vision and Pattern Recognition (cs.CV), [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Frugal learning, Napari, Deep learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Computer Vision and Pattern Recognition, Cellpose

File Description: application/pdf

Access URL: http://arxiv.org/abs/2508.17798

Visual Prostheses in the Era of Artificial Intelligence Technology

Authors: Sarbout, Ilias, Gungor, Ayse, Ounissi, Mehdi, Zaher, Samy, Ptito, Maurice, Kupers, Ron, Racoceanu, Daniel, Milea, Dan

Contributors: Racoceanu, Daniel

Source: Sarbout, I, Gungor, A, Ounissi, M, Zaher, S, Ptito, M, Kupers, R, Racoceanu, D & Milea, D 2025, ' Visual Prostheses in the Era of Artificial Intelligence Technology ', Eye and Brain, vol. 17, pp. 95-113 . https://doi.org/10.2147/EB.S524322

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], visual impairment, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, vision restoration, artificial intelligence, blindness, rehabilitation, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

File Description: application/pdf

Access URL: https://curis.ku.dk/ws/files/472928929/EB-524322-visual-prostheses-in-the-era-of-artificial-intelligence-tech.pdf

Simulation, Design, and Characterization of a Large Divergent Element Sparse Array (LDESA) for 3-D Ultrasound Imaging

Authors: Jacquet, Jean-Baptiste, Guey, Jean-Luc, Kauffmann, Pierre, Tamraoui, Mohamed, Roux, Emmanuel, Nicolas, Barbara, Coffy, Etienne, Liebgott, Hervé

Contributors: Jacquet, Jean-Baptiste

Source: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 72:1041-1052

Subject Terms: Large Diverging Element (LDE), Ultrasound Simulation, Sparse Array, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 3D Imaging, [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD]

File Description: application/pdf

Access URL: https://hal.science/hal-05135761v1
https://hal.science/hal-05135761v1/document
https://doi.org/10.1109/tuffc.2025.3583178

A Systematic Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic Detection, Localization, and Characterization of Clinically Significant Prostate Cancer on Magnetic Resonance Imaging

Authors: Molière, Sébastien, Hamzaoui, Dimitri, Ploussard, Guillaume, Mathieu, Romain, Fiard, Gaëlle, Baboudjian, Michael, granger, benjamin, Roupret, Morgan, Delingette, Hervé, Renard-Penna, Raphaële

Contributors: Service de radiologie Strasbourg, Centre Hospitalier Universitaire Strasbourg (CHU Strasbourg), Les Hôpitaux Universitaires de Strasbourg (HUS)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Hôpital de Hautepierre Strasbourg, Institut de Cancérologie de Strasbourg Europe (ICANS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Aalto University, Clinique La Croix du Sud, Pôle IUCT CHU Toulouse, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique EHESP (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes (Biosit : Biologie - Santé - Innovation Technologique), Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525 (TIMC), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA), Hôpital Nord CHU - APHM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Groupe de Recherche Clinique Onco-Urologie Prédictive (GRC 5), Sorbonne Université (SU), CHU Pitié-Salpêtrière AP-HP, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Société Française de Radiologie, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

Source: European Urology Oncology. 8:1182-1202

Subject Terms: Artificial intelligence, Magnetic resonance imaging, Prostate cancer, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Systematic review, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Deep learning, [SDV.CAN]Life Sciences [q-bio]/Cancer, Diagnostic accuracy, [SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology

Access URL: https://pubmed.ncbi.nlm.nih.gov/39547898

Intraoperative Hyperspectral Imaging for Mapping Brain Motor and Sensory Functions With the Measurements of Changes in Hemoglobin Oxygenation and Oxidation of Cytochrome-C-Oxidase

Authors: Charly Caredda, Frédéric Lange, Ilias Tachtsidis, Thiébaud Picart, Jacques Guyotat, Bruno Montcel

Contributors: RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Physics and Biomedical Engineering (UCL), University College of London London (UCL), Hospices Civils de Lyon (HCL), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), ANR-11-INBS-0006,FLI,France Life Imaging(2011), European Project: 101071040,HyperProbe

Source: IEEE Journal of Selected Topics in Quantum Electronics

Subject Terms: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

PI-RADS Inspired Architecture: A New Deep Learning Approach to Detect Clinically Significant Prostate Cancer on MRI

Authors: Taguelmimt, Kamilia, Dang, Hong-Phuong, Andrade-Miranda, Gustavo, Visvikis, Dimitris, Malavaud, Bernard, Bert, Julien

Contributors: Dang, Hong-Phuong

Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-4

Subject Terms: MRI Classification, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Deep Learning, Bimodal, Prostate Cancer, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, PI-RADS

File Description: application/pdf

Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting

Authors: Oudoumanessah, Geoffroy, Coudert, Thomas, Meyer, Luc, Delphin, Aurelien, Christen, Thomas, Dojat, Michel, Lartizien, Carole, Forbes, Florence

Contributors: Oudoumanessah, Geoffroy

Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-5

Subject Terms: Incremental Learning, [STAT.AP] Statistics [stat]/Applications [stat.AP], Massive data, Compression, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Mixture of probabilistic PCA

File Description: application/pdf

Access URL: https://hal.science/hal-04766234v1

Two-Step Registration Method Boosts Sensitivity in Longitudinal Fixel-Based Analyses

Authors: Lebrun, Aurélie, Bottlaender, Michel, Lagarde, Julien, Sarazin, Marie, Leprince, Yann

Contributors: Leprince, Yann

Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-4

Subject Terms: I.4, Image and Video Processing (eess.IV), [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, FOS: Physical sciences, longitudinal analysis, Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Quantitative Methods, Physics - Medical Physics, diffusion MRI, intra-subject average, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], FOS: Biological sciences, FOS: Electrical engineering, electronic engineering, information engineering, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Medical Physics (physics.med-ph), fixel-based analysis, Image registration, Quantitative Methods (q-bio.QM)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2411.10116
https://hal.science/hal-05070372v1/document
https://hal.science/hal-05070372v1
https://doi.org/10.1109/isbi60581.2025.10980780

Diaphragm-Net: 3D Full Automatic Segmentation of the Diaphragm Based on Deep Learning Methods for 3D-CT Images

Authors: Benkhettou, Mohamed, Ladjal, Hamid, Haddad, Mohammed, Shariat, B.

Contributors: Ladjal, Hamid

Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-4

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.MECA.BIOM] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [INFO] Computer Science [cs]

Access URL: https://hal.science/hal-04877052v1

Guiding the Classification of Hepatocellular Carcinoma on 3D CT-Scans Using Deep and Handcrafted Radiological Features

Authors: Sarfati, Emma, Bône, Alexandre, Rohé, Marc-Michel, Aubé, Christophe, Ronot, Maxime, Gori, Pietro, Bloch, Isabelle

Contributors: Gori, Pietro

Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-5

Subject Terms: FOS: Computer and information sciences, Deep Learning, Artificial Intelligence (cs.AI), Image Classification, Liver, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), CT imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Computer Science - Computer Vision and Pattern Recognition, LI-RADS, Hepatocellular Carcinoma

File Description: application/pdf

Access URL: http://arxiv.org/abs/2501.08097
https://telecom-paris.hal.science/hal-04886299v1

Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position for Cerebral Emboli Visualization Using Contrastive Learning

Authors: Dupouy, Mathilde, Vindas, Yamil, Almar, Marilys, Guépié, Blaise Kévin, Delachartre, Philippe

Contributors: Dupouy, Mathilde

Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-4

Subject Terms: Cerebral emboli, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Transcranial Doppler, Contrastive learning, Unsupervised learning, Representation learning

File Description: application/pdf

Access URL: https://hal.science/hal-04922841v1/document
https://doi.org/10.1109/isbi60581.2025.10981113
https://hal.science/hal-04922841v1

Detectability of patches in fractal textures for assessing Hölder exponent-based breast cancer risk evaluation

Authors: Pascal, Barbara, Biermé, Hermine

Contributors: PASCAL, Barbara, Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-NANTES UNIVERSITÉ - École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ), Institut Denis Poisson (IDP), Université d'Orléans (UO)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), ANR-19-CE40-0005,MISTIC,Models, Inference and Synthesis for Texture In Color(2019)

Source: 2025 IEEE Statistical Signal Processing Workshop (SSP). :1-5

Subject Terms: Fractal textures, Detectability, Breast cancer, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Texture segmentation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Brownian fields, Variational estimator, Multiscale analysis

File Description: application/pdf

Access URL: https://hal.science/hal-04953522v3

Multimodal Neuroimaging for the PK/PD Profile of NLX-204: A Biased 5-HT1A Receptor Agonist

Authors: Richin, Violette, Valdebenito, Marco, Bouillot, Caroline, Bouvard, Sandrine, Daligault, Sébastien, Vidal, Benjamin, Newman-Tancredi, Adrian, Zeinyeh, Wael, Zimmer, Luc

Contributors: Chauveau, Fabien

Source: ACS Chemical Neuroscience. 16:2738-2746

Subject Terms: [SDV.SP.PHARMA] Life Sciences [q-bio]/Pharmaceutical sciences/Pharmacology, PET microdosing, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 5-HT1A receptors, biased agonist, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], functional ultrasound imaging, NLX-204, serotonin

Computational Super-Resolution for Ultrasound Localization Microscopy Through Solving an Inverse Problem

Authors: Vassili Pustovalov, Duong Hung Pham, Corentin Alix, Jean-Pierre Remeniéras, Denis Kouamé

Contributors: PHAM, Duong-Hung

Source: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 72:636-645

Subject Terms: Super-Resolution Imaging, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Microbubble (MB), Deconvolution, Ultrasound Localization Microscopy (ULM), RPCA

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40117167
https://hal.science/hal-04967615v1
https://hal.science/hal-04967615v1/document
https://doi.org/10.1109/tuffc.2025.3553735

Patient-Specific Biomechanical Diaphragm-Ribs Respiratory Motion Model for Radiation Therapy

Authors: Ladjal, Hamid, Beuve, Michaël, Behzad, Shariat

Contributors: Ladjal, Hamid

Source: IEEE Transactions on Medical Robotics and Bionics. 7:802-813

Subject Terms: Radiation therapy, biome- chanics, organ motion, [SPI.MECA.BIOM] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph], tetrahedral mesh, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, hyperelastic models, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, respiratory system

Access URL: https://hal.science/hal-04999920v1
https://doi.org/10.1109/tmrb.2025.3560383

Computationally Efficient SVD Filtering for Ultrasound Flow Imaging and Real-Time Application to Ultrafast Doppler

Authors: B. Pialot, F. Guidi, G. Bonciani, F. Varray, T. Loupas, P. Tortoli, A. Ramalli

Contributors: Varray, François, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Source: IEEE Transactions on Biomedical Engineering. 72:921-929

Subject Terms: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, blood flow imaging, Doppler imaging, real-time imaging, SVD filtering, Ultrafast ultrasound imaging

Access URL: https://pubmed.ncbi.nlm.nih.gov/39531568

An asymmetric heuristic for trained ternary quantization based on the statistics of the weights: An application to medical signal classification

Authors: Vindas, Yamil, Roux, Emmanuel, Guépié, Blaise Kévin, Almar, Marilys, Delachartre, Philippe

Contributors: Vindas, Yamil, Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Inria de Lyon, Institut National de Recherche en Informatique et en Automatique (Inria), Modèle et algorithmes pour des systèmes de communication fiables (MARACAS), CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre Inria de Lyon, Université de Lyon, Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Laboratoire de Modélisation et Sûreté des Systèmes - LM2S (LM2S), Atys Medical, Imagerie Ultrasonore, Project CAREMB de la région Auvergne-Rhône-Alpes, ANR-10-LABX-0060,CeLyA,Lyon Acoustics Centre(2010), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011)

Source: Pattern Recognition Letters. 188:37-45

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Transcranial Doppler, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Model pruning, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Model compression, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Supervised Learning, Model quantization

File Description: application/pdf

Access URL: https://hal.science/hal-04777110v1
https://hal.science/hal-04777110v1/document
https://doi.org/10.1016/j.patrec.2024.11.016