Publications du projet IADB

Reminder:

1. Put the standard acknowledgement in the publication text (only acknowledged publications are recognized by the ANR): "This work is partly funded by the French government labelled PIA program under its IDEX UCAJEDI project (ANR-15-IDEX-0001). "
2. Register the publications in HAL (hal.univ-cotedazur.fr or hal.archives-ouvertes.fr) and specify in the "ANR project" metadata the affiliation to the IDEX UCAJEDI (enter "JEDI" in the ANR field and select the project name).
3. Register the founding by IADB project.
   

Papers

• Tobias Mayer, Elena Cabrio, Marco Lippi, Paolo Torroni, Serena Villata: Argument Mining on Clinical Trials. In: Proceedings of the 7th International Conference on Computational Models of Argument (COMMA- 2018): 137-148.
• Tobias Mayer, Elena Cabrio, Serena Villata: Evidence Type Classification in Randomized Controlled Trials. 5th workshop on an Argument Mining (Argument Mining 2018).
  
• John Anderson Garcia Heano, Fréedéric Precioso, Pascal Staccini and Michel Riveill. Parallel and Distributed Processing for Unsupervised Patient Phenotype Representation, 5th join Conference CLCAR & HPC-LATAM (CARLA2018).
• Edson Florez, Frederic Precioso, Michel Riveill, Romaric Pighetti, Named Entity Recognition using Neural Networks for Clinical Notes. on International Workshop on Medication and Adverse Drug Event Detection (MADE 2018), PMLR 90:7-15

Presentation

• John Anderson Garcia Heano, Scalability Analysis of Mini-Cluster Jetson TX2 for Training DNN Applied to Healthcare. NVIDIA GTC Europe Conference, Munich 2018(https://2018gtceurope.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=229710&tclass=popup#.W7uX_NGaWJw.linkedin)

Dataset

• Tobias Mayer, Annotated dataset on randomized clinical trials from PubMed documents, 2018
  

Posters

• Amina Ghrissi, Vicente Zarzoso, "Training Neural Networks: A Tensor-Based Approach", in: EURASIP Summer School on Tensor-Based Signal Processing, Leuven, Belgium, Aug. 27-31, 2018.
• Pedro Marinho R. de Olivieira, Vicente Zarzoso, "Block Term Decomposition for Atrial Activity Extraction in Atrial Fibrillation ECGs", in: EURASIP Summer School on Tensor-Based Signal Processing, Leuven, Belgium, Aug. 27-31, 2018.

Video

• Participation to the NVIDIA rocket challenge (2018 edition): presentation: DiagnoseNet page, video

PhD thesis

Master final thesis

• Mohamed Limam, Classification de Signaux Cardiaques, Master IFI - Informatique Fondements et Ingénierie, UNS, 2017
• Alessandro Vasquez, Analysis and classification of heart signals’, Master RIF - Recherche en Informatique Fondamentale, UNS, 2018
• Anouar Rkhami, Parallel machine learning for medical data on a Jetson TX2 cluster - Master IFI - Informatique Fondements et Ingénierie, UNS 2018
• Fatimazahra Imami,  Parallélisation des réseaux de neurones sur un cluster de jetson TX2 pour la classification des données médicales, Ingénieur IMT Atlantique, 2018
• Pierre Tramaloni, Analyse multimodale multi-échelle de la complexité de la fibrillation atriale persistante, Master on Medical Imaging, Karlsruher Institute of Technology (KIT), 2018
  
  

Autres publications des membres du projet, sur la thématique IADB - depuis le démarrage d'IADB

• Pedro Marinho R. de Oliveira, Vicente Zarzoso: Source Analysis and Selection Using Block Term Decomposition in Atrial Fibrillation. LVA/ICA 2018: 46-56
• Pedro Marinho R. de Oliviera,  Vicente Zarzoso: Block Term Decomposition Analysis in Long Segments of Atrial Fibrillation ECGs, in: Proc. Simpósio Brasileiro de Telecomunicações et Processamento de Sinais, Campina Grande, PB, Brasil, 16-19 set. 2018.
  
• Mohamed Limam, Frederic Precioso: Atrial fibrillation detection and ECG classification based on convolutional recurrent neural network, Computing in Cardiology (CinC), 2017.
• V. Lacroix-Hugues, David Darmon, C. Pradier, Pascal Staccini: Creation of the First French Database in Primary Care Using the ICPC2: Feasibility Study. MedInfo 2017: 462-466
• Antonio R. Hidalgo-Muñoz, Decebal Gabriel Latcu, Marianna Meo, Olivier Meste, Irina Popescu, Nadir Saoudi, Vicente Zarzoso: Spectral and spatiotemporal variability ECG parameters linked to catheter ablation outcome in persistent atrial fibrillation. Comp. in Bio. and Med. 88: 126-131 (2017)
• Layli S. Goldoozian, Edmond Zahedi, Vicente Zarzoso: Time-varying assessment of heart rate variability parameters using respiratory information. Comp. in Bio. and Med. 89: 355-367 (2017)
• Addisson Salazar, Vicente Zarzoso, Manuel Rosa-Zurera, Luis Vergara: Fusion Methods for Biosignal Analysis: Theory and Applications. Comp. Int. and Neurosc.2017: 7152546:1-7152546:2 (2017)
• Vicente Zarzoso: Parameter estimation in block term decomposition for noninvasive atrial fibrillation analysis. CAMSAP 2017: 1-5
• Alex Chaves Alberto, Gabriel Azevedo Limeira, Roberto Coury Pedrosa, Vicente Zarzoso, Jurandir Nadal: ECG-Based Predictors of Sudden Cardiac Death in Chagas' Disease. CinC 2017

Publications depuis 2013, sur la thématique d'IADB - avant le démarrage d'IADB