2024    2023    2022    2021    2020    2019    2018    2017    2016   

2023

International refereed journal articles

121 - 

PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?

A. Huaulme, K. Harada, Q.-M. Nguyen, B. Park, S Hong, M. K. Choi, M. Peven, Y. Li, Y Long, Q. Dou, S. Kumar, S. Lalithkumar, R. Hongliang, H. Matsuzaki, Y. Ishikawa et al.

Computer Methods and Programs in Biomedicine, 2023, 236, pp.107561.

DOI : https://doi.org/10.1016/j.cmpb.2023.107561

Pubmed : 37119774

 

122 - 

Diastolic function and its non-invasive assessment. The quest for the holy grail continues

Arnaud Hubert, Marion Taconne, Bogdan A Popescu, Erwan Donal

International Journal of Cardiology, 2023, 382, pp.96-97.

DOI : https://doi.org/10.1016/j.ijcard.2023.03.003

Pubmed : 36871811

 

123 - 

Adopting the Rumsfeld approach to understanding the action of levodopa and apomorphine in Parkinson’s disease

P Jenner, C Falup-P.ecurariu, V Leta, M Vérin, M Auffret, Roongroj Bhidayasiri, D Weiss, F Borovečki, W H Jost

Journal of Neural Transmission, 2023, 130 (11), pp.1337-1347.

DOI : https://doi.org/10.1007/s00702-023-02655-0

Pubmed : 37210460

 

124 - 

O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation

Z. Jiang, Y. He, S. Ye, P. Shao, X. Zhu, Y. Xu, Y. Chen, J.-L. Coatrieux, S. Li, G. Yang

Knowledge-Based Systems, 2023, 265, pp.110378.

DOI : https://doi.org/10.1016/j.knosys.2023.110378

 

125 - 

Cardiogenic shock in adults with congenital heart disease: Insights from the FRENSHOCK registry

Clément Karsenty, Anthony Touafchia, Magalie Ladouceur, François Roubille, Eric Bonnefoy, Laurent Bonello, Guillaume Leurent, Bruno Levy, Sébastien Champion, Pascal Lim, Francis Schneider, Alain Cariou, Hadi Khachab, Jeremy Bourenne, Marie-France Seronde et al.

Archives of cardiovascular diseases, In press, ⟨hal-04183605v2⟩

DOI : https://doi.org/10.1016/j.acvd.2023.06.008

 

126 - 

Machine learning in renal cell carcinoma research: the promise and pitfalls of ’renal-izing’ the potential of artificial intelligence

Zine-Eddine Khene, Alexander Kutikov, Riccardo Campi

BJU International, 2023,

DOI : https://doi.org/10.1111/bju.16016

Pubmed : 37005367

 

127 - 

Application of Machine Learning Models to Predict Recurrence After Surgical Resection of Nonmetastatic Renal Cell Carcinoma

Zine-Eddine Khene, Pierre Bigot, Nicolas Doumerc, Idir Ouzaid, R. Boissier, F.-X. Nouhaud, Laurence Albiges, Jean-Christophe Bernhard, Alexandre Ingels, Delphine Borchiellini, Solène Kammerer-Jacquet, Nathalie Rioux-Leclercq, Morgan Rouprêt, Oscar Acosta, Renaud de Crevoisier et al.

European Urology Oncology, 2023, 6 (3), pp.323-330.

DOI : https://doi.org/10.1016/j.euo.2022.07.007

Pubmed : 35987730

 

128 - 

Clinical Application of Digital and Computational Pathology in Renal Cell Carcinoma: A Systematic Review

Zine-Eddine Khene, Solène-Florence Kammerer-Jacquet, Pierre Bigot, Noémie Rabilloud, Laurence Albiges, Vitaly Margulis, Renaud de Crevoisier, Oscar Acosta, Nathalie Rioux-Leclercq, Yair Lotan, Morgan Roupret, Karim Bensalah

European Urology Oncology, 2023, European Urology Oncology,

DOI : https://doi.org/10.1016/j.euo.2023.10.018

Pubmed : 37925349

 

129 - 

Cardiac Magnetic Resonance Identifies Responders to Cardiac Resynchronization Therapy with an Assessment of Septal Scar and Left Ventricular Dyssynchrony

Camilla Kjellstad Larsen, Otto A Smiseth, Jürgen Duchenne, Elena Galli, John Moene Aalen, Mathieu Lederlin, Jan Bogaert, Erik Kongsgaard, Cecilia Linde, Martin Penicka, Erwan Donal, Jens-Uwe Voigt, Einar Hopp

Journal of Clinical Medicine, 2023, Journal of Clinical Medicine, 12 (22), pp.7182.

DOI : https://doi.org/10.3390/jcm12227182

Pubmed : 38002795

 

130 - 

Multi-classification of high-frequency oscillations in intracranial EEG signals based on CNN and data augmentation

Fatma Krikid, Ahmad Karfoul, Sahbi Chaibi, Amar Kachenoura, Anca Nica, Abdennaceur Kachouri, Régine Le Bouquin Jeannès

Signal, Image and Video Processing, 2023, Signal Image and Video Processing,

DOI : https://doi.org/10.1007/s11760-023-02808-4