About me
I am a third year PhD student at LaTIM laboratory (Laboratoire de Traitement de l’Information Médicale UMR 1101, Inserm). I am working under the supervision of Dr. Pierre-Henri Conze and Prof. Béatrice Cochener. My current research interest is deep learning associated with computer-assisted medical image analysis, including mammography and ophthalmology image analysis (detection, segmentation, classification etc.) and multi-view / longitudinal information fusion.
Research experience
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Researcher PHD Student
LaTIM laboratory, INSERM | Brest, France | Oct. 2018 - Sept. 2021
▮ Built Deep Learning models for accurate Computer-aided diagnosis, including pathology detection, segmentation and classification.
▮ Exploit multi-view / longitudinal information fusion from medical images to improve detection performance.
▮ Exploit prediction of the evolution of lesions with longitudinal follow-up.
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Research Internship
IMT Atlantique | Plouzané, France | Mar. 2018 - Oct. 2018
▮ Implement and optimize different deep learning models (U-Net, SuperCNN etc.) and superpixel algorithms (SLIC, WFI, etc.) for breast mass segmentation from high-resolution digital mammograms.
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Research Internship
Laboratoire Hubert Curien | Saint-Étienne, France | Jun. 2017 - Jul. 2017
▮ Use C language to implement the extraction of the Histogram of Oriented Gradients (HOG) feature.
▮ Study face and person detection architectures based on convolutional neural network (CNN).
Education
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Ph.D. student in Medical Image Processing
Université de Bretagne Occidentale | Brest, France | Oct. 2018 - Sept. 2021
▮ Thesis subject : Medical image analysis with deep learning for computer-aided diagnosis in screening
▮ Research Institution: Laboratoire de Traitement de l’Information Médicale (LaTIM) UMR 1101, Inserm
▮ Affiliations : LaTIM UMR 1101, UBO, IMT Atlantique
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Engineer's degree
Télécom Saint-Etienne | Saint-Etienne, France | Sep. 2015 - Oct. 2018
▮ Major: Computer Science and Computer Vision
▮ Six-month internship in LaTIM laboratory for multi-view mammograms analyzing by deep learning
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Bachelor's degree
Xidian University | Xi'an, China | Sep. 2012 - Jun. 2016
▮ Major: Information security
Publications
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2021
Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener
"Longitudinal detection of diabetic retinopathy early severity grade changes using deep learning", in MICCAI 2021 workshop OMIA.
[Link] -
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
"Deep active learning for dual-view mammogram analysis", in MICCAI 2021 workshop MLMI.
[Link] -
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
"Towards improved breast mass detection using dual-view mammogram matching", in Medical Image Analysis (journal).
[Link] -
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
"Two-stage multi-scale mass segmentation from full mammograms", in ISBI 2021 (oral).
[Link] [PDF] [Video] -
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
"Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention", in Biocybernetics and Biomedical Engineering (journal).
[Link] [PDF] -
2020
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
"Multi-tasking Siamese networks for breast mass detection using dual-view mammogram matching", in MICCAI 2020 workshop MLMI (oral).
[Link] [PDF] [Video] -
2019
Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwenolé Quellec, Beatrice Cochener, Gouenou Coatrieux
"Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms", in EMBC 2019 (oral).
[Link] [PDF]