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Wehenkel Marie

Main Referenced Co-authors
Geurts, Pierre  (9)
Phillips, Christophe  (9)
Bastin, Christine  (7)
Meyer, François  (2)
Salmon, Eric  (2)
Main Referenced Keywords
Alzheimer's disease (6); Machine learning (6); Random forests (4); Prognosis (3); Group selection (2);
Main Referenced Unit & Research Centers
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège (8)
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (12)
Electrical & electronics engineering (1)
Neurology (1)
Neurosciences & behavior (1)

Publications (total 14)

The most downloaded
669 downloads
Wehenkel, M. (2018). Characterization of neurodegenerative diseases with tree ensemble methods: the case of Alzheimer's disease [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227796 https://hdl.handle.net/2268/227796

The most cited

21 citations (Scopus®)

Wehenkel, M., Sutera, A., Bastin, C., Geurts, P.* , & Phillips, C.*. (29 June 2018). Random Forests based group importance scores and their statistical interpretation: application for Alzheimer’s disease. Frontiers in Neuroscience, 12, 411. doi:10.3389/fnins.2018.00411 https://hdl.handle.net/2268/226085

Meyer, F., Wehenkel, M., Phillips, C., Geurts, P., HUSTINX, R., Bernard, C., Bastin, C., Salmon, E., & Alzheimer's Disease NeuroImaging Initiative. (2019). Characterization of a temporoparietal junction subtype of Alzheimer’s disease. Human Brain Mapping, 40, 4279-4286. doi:10.1002/hbm.24701
Peer Reviewed verified by ORBi

Wehenkel, M. (2018). Characterization of neurodegenerative diseases with tree ensemble methods: the case of Alzheimer's disease [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227796

Salmon, E., Meyer, F., Wehenkel, M., Phillips, C., Geurts, P., & Bastin, C. (July 2018). P2‐348: CHARACTERIZATION OF A TEMPOROPARIETAL JUNCTION SUBTYPE OF ALZHEIMER'S DISEASE [Poster presentation]. Alzheimer's Association International Conference, Chicago, United States - Illinois. doi:10.1016/j.jalz.2018.06.1038
Editorial reviewed

Wehenkel, M., Sutera, A., Bastin, C., Geurts, P.* , & Phillips, C.*. (29 June 2018). Random Forests based group importance scores and their statistical interpretation: application for Alzheimer’s disease. Frontiers in Neuroscience, 12, 411. doi:10.3389/fnins.2018.00411
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Wehenkel, M., Bastin, C., Geurts, P., & Phillips, C. (2018). Computer Aided Diagnosis System Based on Random Forests for the Prognosis of Alzheimer’s Disease. In 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science. Frontiers. doi:10.3389/978-2-88945-421-1
Peer reviewed

Wehenkel, M., Bastin, C., Geurts, P., & Phillips, C. (28 June 2017). Parceling and tree-based ensemble methods for the prognosis of Alzheimer's disease [Poster presentation]. 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver, Canada.

Wehenkel, M., Bastin, C., Phillips, C.* , & Geurts, P.*. (2017). Tree Ensemble Methods and Parcelling to Identify Brain Areas Related to Alzheimer’s Disease. In 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), proceedings. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PRNI.2017.7981513
Peer reviewed
* These authors have contributed equally to this work.

Wehenkel, M., Bastin, C., Phillips, C., & Geurts, P. (08 February 2017). Computer aided diagnosis system based on random forests for the prognosis of Alzheimer's disease [Paper presentation]. 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science, Vienne, Austria.

Wehenkel, M., Geurts, P., & Phillips, C. (30 June 2016). Accuracy and interpretability, tree-based machine learning approaches [Poster presentation]. 22nd Annual Meeting of the Organization for Human Brain Mapping, Geneva, Switzerland.

Wehenkel, M. (25 January 2016). Accuracy and interpretability, tree-based machine learning approaches in neuroimaging [Poster presentation]. GIGA-Day 2016, Liège, Belgium.

Wehenkel, M. (26 November 2015). Forward Stagewise Additive Modeling for Computer Aided Diagnosis (CAD) Systems [Poster presentation]. IEEE-EMBS Benelux Chapter Meeting, Liège, Belgium.

Wehenkel, M., Geurts, P., & Phillips, C. (15 March 2015). Tree Ensemble Methods for Computer Aided Diagnosis (CAD) Systems [Poster presentation]. 2nd HBP Education Workshop : Future Medicine, Lausanne, Switzerland.

Wehenkel, M. (2015). Tree Ensemble Methods for Computer Aided Diagnosis (CAD) Systems : Application to neurodegenerative diseases. In Human Brain Project : 2nd HBP Education Workshop : Future Medicine : Medical Intelligence for Brain Diseases : 15th-18th March 2015, CHUV, Lausanne, Switzerland : Abstract Collection Students.
Peer reviewed

Wehenkel, M. (2014). Cellular regulation mechanisms : case study of up and down states in the Purkinje cell [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/177818

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