Emmanuel Iarussi
ML | CG | CV
Research Interests
About
Publications
The drawing assistant
Proceedings of the 26th annual ACM symposium on User interface software and technology / Oct 08, 2013
Iarussi, E., Bousseau, A., & Tsandilas, T. (2013, October 8). The drawing assistant: automated drawing guidance and feedback from photographs. Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology. https://doi.org/10.1145/2501988.2501997
BendFields
ACM Transactions on Graphics / May 08, 2015
Iarussi, E., Bommes, D., & Bousseau, A. (2015). BendFields: Regularized Curvature Fields from Rough Concept Sketches. ACM Transactions on Graphics, 34(3), 1–16. https://doi.org/10.1145/2710026
FlexMaps
ACM Transactions on Graphics / Dec 04, 2018
Malomo, L., Pérez, J., Iarussi, E., Pietroni, N., Miguel, E., Cignoni, P., & Bickel, B. (2018). FlexMaps: computational design of flat flexible shells for shaping 3D objects. ACM Transactions on Graphics, 37(6), 1–14. https://doi.org/10.1145/3272127.3275076
WrapIt
ACM Transactions on Graphics / Nov 02, 2015
Iarussi, E., Li, W., & Bousseau, A. (2015). WrapIt: computer-assisted crafting of wire wrapped jewelry. ACM Transactions on Graphics, 34(6), 1–8. https://doi.org/10.1145/2816795.2818118
Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs
International Journal of Computer Assisted Radiology and Surgery / Aug 07, 2019
Vitale, S., Orlando, J. I., Iarussi, E., & Larrabide, I. (2019). Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs. International Journal of Computer Assisted Radiology and Surgery, 15(2), 183–192. https://doi.org/10.1007/s11548-019-02046-5
Learning Normal Asymmetry Representations for Homologous Brain Structures
Lecture Notes in Computer Science / Jan 01, 2023
Deangeli, D., Iarussi, E., Princich, J. P., Bendersky, M., Larrabide, I., & Orlando, J. I. (2023). Learning Normal Asymmetry Representations for Homologous Brain Structures. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 (pp. 77–87). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43993-3_8
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
Lecture Notes in Computer Science / Jan 01, 2023
Feldman, P., Fainstein, M., Siless, V., Delrieux, C., & Iarussi, E. (2023). VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 (pp. 67–76). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43907-0_7
NORHA: A NORmal Hippocampal Asymmetry Deviation Index Based on One-Class Novelty Detection and 3D Shape Features
Brain Topography / Jun 29, 2023
Deangeli, D., Iarussi, F., Külsgaard, H., Braggio, D., Princich, J. P., Bendersky, M., Iarussi, E., Larrabide, I., & Orlando, J. I. (2023). NORHA: A NORmal Hippocampal Asymmetry Deviation Index Based on One-Class Novelty Detection and 3D Shape Features. Brain Topography, 36(5), 644–660. https://doi.org/10.1007/s10548-023-00985-6
Bone‐GAN: Generation of virtual bone microstructure of high resolution peripheral quantitative computed tomography
Medical Physics / Jun 01, 2023
Thomsen, F. S. L., Iarussi, E., Borggrefe, J., Boyd, S. K., Wang, Y., & Battié, M. C. (2023). Bone‐GAN: Generation of virtual bone microstructure of high resolution peripheral quantitative computed tomography. Medical Physics, 50(11), 6943–6954. Portico. https://doi.org/10.1002/mp.16482
SketchZooms: Deep Multi‐view Descriptors for Matching Line Drawings
Computer Graphics Forum / Jan 20, 2021
Navarro, P., Orlando, J. I., Delrieux, C., & Iarussi, E. (2021). SketchZooms: Deep Multi‐view Descriptors for Matching Line Drawings. Computer Graphics Forum, 40(1), 410–423. Portico. https://doi.org/10.1111/cgf.14197
Learning deep features for dead and living breast cancer cell classification without staining
Scientific Reports / May 13, 2021
Pattarone, G., Acion, L., Simian, M., Mertelsmann, R., Follo, M., & Iarussi, E. (2021). Learning deep features for dead and living breast cancer cell classification without staining. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-89895-w
Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 / Jan 01, 2020
Iarussi, E., Thomsen, F., & Delrieux, C. (2020). Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters. In Lecture Notes in Computer Science (pp. 785–794). Springer International Publishing. https://doi.org/10.1007/978-3-030-59725-2_76
CoreCavity
ACM Transactions on Graphics / Jul 30, 2018
Nakashima, K., Auzinger, T., Iarussi, E., Zhang, R., Igarashi, T., & Bickel, B. (2018). CoreCavity: interactive shell decomposition for fabrication with two-piece rigid molds. ACM Transactions on Graphics, 37(4), 1–13. https://doi.org/10.1145/3197517.3201341
Education
Research Centre Inria Sophia Antipolis - Méditerranée
PhD Computer Science / October, 2015
Universidad Nacional del Centro de la Provincia de Buenos Aires
Engineer, Faculty of Exact Sciences / October, 2012
Experience
University of Denver
Adjunct Faculty / September, 2023 — Present
Universidad Torcuato Di Tella
Professor / March, 2022 — Present
Consejo Nacional de Investigaciones Científicas y Técnicas
Researcher / June, 2017 — Present
ISTA (Austria)
Postdoctoral Fellow / August, 2016 — May, 2017
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