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Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.

A. Maaref, F. Romero, E. Montagnon, M. Cerny, B. Nguyen, F. Vandenbroucke-Menu, G. Soucy, S. Turcotte, A. Tang, and S. Kadoury. J. Digit. Imaging, 33 (4): 937-945 (2020)

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Jean-Antoine Montagnon

Emmanuel Umana

Emmanuel Dogbatse

Emmanuel Lule

Emmanuel Fiolitakis

Other publications of authors with the same name

Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction.M. Elforaici, E. Montagnon, F. Romero, W. Le, F. Azzi, D. Trudel, B. Nguyen, S. Turcotte, A. Tang, and S. Kadoury. CoRR, (2023)Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases.M. Elforaici, E. Montagnon, F. Azzi, D. Trudel, B. Nguyen, S. Turcotte, A. Tang, and S. Kadoury. ISBI, page 1-5. IEEE, (2022)Shear Wave Induced Resonance Elastography of Venous Thrombi: A Proof-of-Concept.C. Schmitt, E. Montagnon, A. Henni, S. Qi, and G. Cloutier. IEEE Trans. Med. Imaging, 32 (3): 565-577 (2013)Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.K. Yang, F. Musio, Y. Ma, N. Juchler, J. Paetzold, R. Al-Maskari, L. Höher, H. Li, I. Hamamci, A. Sekuboyina and 40 other author(s). CoRR, (2023)Real-time processing in dynamic ultrasound elastography: A GPU-based implementation using CUDA.E. Montagnon, S. Hissoiny, P. Després, and G. Cloutier. ISSPA, page 472-477. IEEE, (2012)Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.A. Maaref, F. Romero, E. Montagnon, M. Cerny, B. Nguyen, F. Vandenbroucke-Menu, G. Soucy, S. Turcotte, A. Tang, and S. Kadoury. J. Digit. Imaging, 33 (4): 937-945 (2020)Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis.E. Yamga, L. Mullie, M. Durand, A. Cadrin-Chenevert, A. Tang, E. Montagnon, C. Chartrand-Lefebvre, and M. Chassé. Frontiers Digit. Health, (March 2023)Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker.R. Saber, D. Henault, E. Vorontsov, E. Montagnon, A. Tang, S. Turcotte, and S. Kadoury. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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Disambiguation of "Montagnon, Emmanuel"

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Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.

Please choose a person to relate this publication to

Jean-Antoine Montagnon

Emmanuel Umana

Emmanuel Dogbatse

Emmanuel Lule

Emmanuel Fiolitakis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Montagnon, Emmanuel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.

Please choose a person to relate this publication to

Jean-Antoine Montagnon

Emmanuel Umana

Emmanuel Dogbatse

Emmanuel Lule

Emmanuel Fiolitakis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.