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authFullName_s : Raphael Sznitman

Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

Luping Zhou , Nicholas Heller , Yiyu Shi , Yiming Xiao , Raphael Sznitman et al.
Lecture Notes in Computer Science, 11851, Springer International Publishing, 2019, Lecture Notes in Computer Science, 978-3-030-33642-4. ⟨10.1007/978-3-030-33642-4⟩
Proceedings hal-02385145v1
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Surgical data science – from concepts toward clinical translation

Lena Maier-Hein , Matthias Eisenmann , Duygu Sarikaya , Keno März , Toby Collins et al.
Medical Image Analysis, 2022, 76, pp.102306. ⟨10.1016/⟩
Journal articles hal-03515942v1
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A Combined Simulation & Machine Learning Approach for Image-based Force Classification during Robotized Intravitreal Injections

Andrea Mendizabal , Tatiana Fountoukidou , Jan Hermann , Raphael Sznitman , Stéphane Cotin et al.
Medical Image Computing and Computer Assisted Interventions Conference, Sep 2018, Granada, Spain
Conference papers hal-01878682v2
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Force classification during robotic interventions through simulation-trained neural networks

Andrea Mendizabal , Raphael Sznitman , Stéphane Cotin
International Journal of Computer Assisted Radiology and Surgery, 2019, 14, pp.1601-1610. ⟨10.1007/s11548-019-02048-3⟩
Journal articles hal-02268782v1

Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Danail Stoyanov , Zeike Taylor , Simone Balocco , Raphael Sznitman , Anne Martel et al.
Lecture Notes in Computer Science, 11043, 2018, 978-3-030-01363-9. ⟨10.1007/978-3-030-01364-6⟩
Proceedings hal-02568515v1