The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review von Jourdan, Theo, Debs, Noelie, Frindel, Carole

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Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke von Giacalone, Mathilde, Rasti, Pejman, Debs, Noelie, Frindel, Carole, Cho, Tae-Hee, Grenier, Emmanuel, Rousseau, David

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Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke von Debs, Noëlie, Rasti, Pejman, Victor, Léon, Cho, Tae-Hee, Frindel, Carole, Rousseau, David

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Impact of the reperfusion status for predicting the final stroke infarct using deep learning von Debs, Noëlie, Cho, Tae-Hee, Rousseau, David, Berthezène, Yves, Buisson, Marielle, Eker, Omer, Mechtouff, Laura, Nighoghossian, Norbert, Ovize, Michel, Frindel, Carole

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Association of Blood Biomarkers of Inflammation With Penumbra Consumption After Mechanical Thrombectomy in Patients With Acute Ischemic Stroke von Mechtouff, Laura, Debs, Noelie, Frindel, Carole, Bani-Sadr, Alexandre, Bochaton, Thomas, Paccalet, Alexandre, Crola Da Silva, Claire, Buisson, Marielle, Amaz, Camille, Berthezene, Yves, Eker, Omer Faruk, Bouin, Morgane, de Bourguignon, Charles, Mewton, Nathan, Ovize, Michel, Bidaux, Gabriel, Nighoghossian, Norbert, Cho, Tae-Hee

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Association of Blood Biomarkers of Inflammation With Penumbra Consumption After Mechanical Thrombectomy in Acute Ischemic Stroke Patients von MECHTOUFF, Laura, DEBS, Noelie, FRINDEL, Carole, BANI-SADR, Alexandre, BOCHATON, Thomas, PACCALET, Alexandre, SILVA, Claire CROLA DA, BUISSON, Marielle, AMAZ, Camille, BERTHEZENE, Yves, Faruk EKER, Omer, BOUIN, Morgane, BOURGUIGNON, Charles DE, Mewton, Nathan, Ovize, Michel, Bidaux, Gabriel, Nighoghossian, Norbert, Cho, Tae-Hee

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Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection von Debs, Noëlie, Routier, Alexandre, Abi-Nader, Clément, Marcoux, Arnaud, Bône, Alexandre, Rohé, Marc-Michel

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VOXEL-BASED PREDICTION OF DIFFUSION LESION REVERSAL IN ISCHEMIC STROKE PATIENTS TREATED WITH THROMBECTOMY von Debs, Noelie, Frindel, Carole, Mechtouff, L., Buisson, M., Riva, R., Berthezène, Yves, Nighoghossian, Norbert, Rousseau, David, Eker, Omer, Cho, T.H.

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Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network von Debs, Noëlie, Decroocq, Méghane, Cho, Tae-Hee, Rousseau, David, Frindel, Carole

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The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review von Jourdan, Théo, Debs, Noëlie, Frindel, Carole

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Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study von Twilt, Jasper J, van Ginneken, Bram, Padhani, Anwar R, Bonekamp, David, Villeirs, Geert, Kalpathy-Cramer, Jayashree, van den Bergh, Roderick, Panebianco, Valeria, Kasivisvanathan, Veeru, Elschot, Mattijs, Veltman, Jeroen, Fütterer, Jurgen J, de Rooij, Maarten, Huisman, Henkjan, Saha, Anindo, Bosma, Joeran S., Twilt, Jasper J., van Ginneken, Bram, Slootweg, Ivan, Roest, Christian, Sunoqrot, Mohammed R.S., Bathen, Tone F., Rouw, Dennis, Geerdink, Jeroen, van Run, Chris, Groeneveld, Miriam, Meakin, James, Routier, Alexandre, Marcoux, Arnaud, Li, Cynthia Xinran, Feng, Dagan, Alis, Deniz, Karaarslan, Ercan, Ahn, Euijoon, Sonn, Geoffrey A., Bhattacharya, Indrani, Jahanandish, Hassan, An, Hong, Oksuz, Ilkay, Khadra, Mohamed, Şeker, Mustafa E., Kartal, Mustafa S., Debs, Noëlie, Fan, Richard E., Saunders, Sara, Soerensen, Simon J.C., Vesal, Sulaiman, Kawashima, Akira, Moreira, Ana Sofia L., Rappaport, Annelies, Stanzione, Arnaldo, Ciuvasovas, Arturas, Pedersen, Bodil G., Eijlers, Bram, Chen, Christine, Aringhieri, Giacomo, Brembilla, Giorgio, Son, Hannah, Vanderlelij, Hans, Raat, Henricus P.J., Pikūnienė, Ingrida, Schoots, Ivo, Zawaideh, Jeries P., Wallström, Jonas, Bittencourt, Leonardo K., Khurram, Misbah, Choi, Moon H., Takahashi, Naoki, Tan, Nelly, Franco, Paolo N., Gutierrez, Patricia A., Thimansson, Per Erik, Hanus, Pieter, Puech, Philippe, Rau, Philipp R., de Visschere, Pieter, Falcão, Ricardo O., van Stiphout, Rogier S.A., Briediene, Ruta, Gitau, Samuel, Withey, Samuel, Ghai, Sangeet, Penzkofer, Tobias, Barrett, Tristan, Tammisetti, Varaha S., Løgager, Vibeke B., Černý, Vladimír, Bonekamp, David, Villeirs, Geert, Giannarini, Gianluca, Kalpathy-Cramer, Jayashree, Maier-Hein, Klaus H., Obuchowski, Nancy A., Rouvière, Olivier, van den Bergh, Roderick, Panebianco, Valeria, Kasivisvanathan, Veeru, Veltman, Jeroen, Fütterer, Jurgen J., de Rooij, Maarten

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Prédiction de l’issue lésionnelle et clinique de l’accident vasculaire cérébral par approche d’intelligence artificielle von Debs, Noëlie

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Apprendre l’apprentissage automatique : un retour d’expérience von Debs, Noëlie, Peignier, Sergio, Douarre, Clément, Jourdan, Théo, Rigotti, Christophe, Frindel, Carole

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nnU-Net weights for Prostate segmentation used in PI-CAI Challenge - Phase 1 von Debs, Noëlie, Routier, Alexandre, Abi-Nader, Clément, Marcoux, Arnaud, Nicolas, François, Bône, Alexandre, Rohé, Marc-Michel

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