HOME
ABOUT
- RESULTS
- differences
- BENEFITS
- HISTORY
- TEAM
- LOCATION
- FACILITIES
- BANKING
- MEMBERSHIPS
- APPROVALS
- LICENCES
- SUPPLIERS
- SPONSORSHIPS
- MEDIA
- PRIVACY
AUCTIONS
SHIPPING
FEES
- TS REWARDS
TOOLS
guides
FAQ
CONTACT
- CONNECT

VEHICLES
BRAND
- JAPANESE CARS
  - DAIHATSU
  - EUNOS
  - FORD
  - HONDA
  - ISUZU
  - LEXUS
  - MAZDA
  - MITSUBISHI
  - MITSUOKA
  - NISSAN
  - SUBARU
  - SUZUKI
  - TOYOTA
- GERMAN CARS
- AMERICAN CARS
- BRITISH CARS
- ITALIAN CARS
- FRENCH CARS
- SWEDISH CARS
- KOREAN CARS
TYPE
- mobility
- VENDING
- instruction
- TAXIS
- AMBULANCES
- FIRE ENGINES
- HEARSES
- LIMOUSINES
- COMMERCIAL
CLASS
FUEL
TRUCKS
minitrucks
- DAIHATSU
- HONDA
- MAZDA
- MITSUBISHI
- NISSAN
- SUBARU
- SUZUKI
- DUMP
- CRANE
- CAMPER
- REFRIGERATED
- 4WD
- NEW
BUSES
MOTORHOMES
- YAHOO!
- RAKUTEN
- DEALER

PARTS
- FREE REPORT
- PARTS CONTAINERS
- PARTS SYSTEMS
- PARTS PROTECTION
- BODY SHELLS
- DISMANTLING
- ONLINE PARTS
- NEW PARTS
- INTERIOR PARTS
- EXTERIOR PARTS
  - BONNETS
  - BUMPERS
  - GRILLES
  - FENDERS
  - DOORS
  - TRUNKS
  - SPOILERS
  - LIGHTS
  - EMBLEMS
  - CAMERAS
- ENGINES
- TRANSMISSIONS
- WHEELS & TYRES
  - WHEELS
  - TYRES
CUTS
PERFORMANCE PARTS
TRUCK PARTS
MOTORBIKE PARTS
- MOTORBIKE ENGINES
- MOTORBIKE ACCESSORIES

MOTORBIKES
MARINE
FORKLIFTS
MACHINERY
AGRICULTURAL
OTHER
COUNTRY
- AUSTRALIA
- CANADA
- KENYA
- MYANMAR
- NEW ZEALAND
- PAKISTAN
- TANZANIA
- UNITED STATES

CARVIEW

MOTORHOMES

Select Language

HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Tue, 31 Oct 2023 05:43:06 GMT access-control-allow-origin: * etag: W/"654093ea-a241" expires: Mon, 29 Dec 2025 11:38:32 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: E0FB:1387E:8AADEF:9BD494:695265DC accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 11:28:32 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210062-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767007712.119918,VS0,VE203 vary: Accept-Encoding x-fastly-request-id: b45e6fa8b43f256441027d0e206449045b654bc5 content-length: 10412 Elena Sizikova

Elena Sizikova

Staff Fellow
Center for Devices and Radiological Health (CDRH)
Office of Science and Engineering Laboratories (OSEL)
Division of Imaging, Diagnostics, an!d Software Reliability (DIDSR)
Food and Drug Administration (FDA)
Medical Imaging and Computer VIsion Researcher

Email: elena.sizikova (at) fda.hhs.gov

About Me

I am a staff fellow (research scientist) in the Center for Devices and Radiological Health (CDRH) in the Food and Drug Administration (FDA) in Silver Spring, MD. I completed my PhD in the Graphics/Vision Lab in Princeton CS department, advised by Prof. Thomas Funkhouser.

I'm interested in problems at the intersection of artificial intelligence (AI), medical imaging and computer vision. Specifically, my research focuses on use of synthetic data in medical imaging and regulatory science.

Open Positions

I'm looking for fellows (postdocs, graduate or undergraduate students) via the ORISE program! If you are interested in working on synthetic medical imaging research, please apply and contact me via email with any questions!

Select Publications

Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
Poster at Conference on Neural Information Processing Systems (NeurIPS) 2023.
[PDF] [Code] [Data]

Ajay Subramanian, Elena Sizikova, Najib Majaj, Denis G. Pelli
Spatial-frequency channels, shape bias, and adversarial robustness
Oral Presentation at Conference on Neural Information Processing Systems (NeurIPS) 2023.
[PDF] [Code]

Aldo Badano, Miguel Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner
The stochastic digital human is now enrolling for in silico imaging trials – Methods and tools for generating digital cohorts
Progress in Biomedical Engineering 2023.
[PDF]

Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng
THMA: Tencent HD Map AI System for Creating HD Map Annotations
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI/IAAI) 2023.
[PDF]

Xu Cao, Wenqian Ye, Elena Sizikova, Xue Bai, Megan Coffee, Hongwu Zeng, Jianguo Cao
ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023.
[PDF] [Code]

Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R Gel
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI/IAAI) 2022.
[PDF]

Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell
Automatic Infectious Disease Classification Analysis with Concept Discovery
Machine Learning for Health (ML4H) 2022 Extended Abstract.
[PDF] [Poster] [Code]

Elena Sizikova, Xu Cao, Ashia Lewis, Kenny Moise, Megan Coffee
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction
Machine Learning for Health (ML4H) 2022 Extended Abstract.
[PDF] [Poster] [Code]

Pranav Singh, Elena Sizikova, Jacopo Cirrone
CASS: Cross Architectural Self-Supervision for Medical Image Analysis
NeurIPS Workshop on Self-Supervised Learning - Theory and Practice (2022).
[PDF] [Code]

Ajay Subramanian, Sara Price, Elena Sizikova, Omkar Kumbhar, Najib Majaj, Denis G. Pelli
SATBench: Benchmarking the Speed-Accuracy Tradeoff in Object Recognition by Humans and Dynamic Neural Networks
arXiv:2206.08427 [cs.CV]. June 2022.
[PDF] [Code] [Data]

Yuzhou Chen, Elena Sizikova, Yulia R. Gel
TopoAttn-Nets: Topological Attention in Graph Representation Learning
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML-PKDD) 2022.
[PDF] [Code]

Ajay Subramanian, Elena Sizikova, Omkar Kumbhar, Najib Majaj, Denis G. Pelli
Benchmarking Dynamic Neural-Network Models of the Human Speed-Accuracy Tradeoff
Poster at the Vision Sciences Society (VSS) 2022.
[Link]

Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
CN: Pioneering Topological-based Convolutional Networks for Planetary Terrain Learning
Annual Conference on Innovative Applications of Artificial Intelligence (IAAI) 2022.
[Link and Video] [Code] [PDF]

Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
Large-Scale Unsupervised Object Discovery
Poster at Conference on Neural Information Processing Systems (NeurIPS) 2021.
[PDF][Code]

Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
Poster at ICCV Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD) 2021.
[Arxiv]

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification
Poster at Asilomar Conference on Signals, Systems and Computers 2021.
[Arxiv]

Tianshu Chu*, Xinmeng Li*, Huy V Vo, Ronald M Summers, Elena Sizikova
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
Poster at the Medical Imaging with Deep Learning (MIDL) Conference 2021.
[PDF][Poster][Video][Code]

Omkar Kumbhar, Elena Sizikova, Najib J. Majaj, Denis G. Pelli
Anytime Prediction as a Model of Human Reaction Time
arXiv:2011.12859 [cs.AI]. November 2020.
[PDF]

Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
arXiv:2007.00083 [cs.CV]. June 2020.
[PDF]

Fangyin Wei, Elena Sizikova, Avneesh Sud, Thomas Funkhouser, Szymon Rusinkiewicz
Learning to Infer Semantic Parameters for 3D Shape Editing
Poster at the International Conference on 3D Vision (3DV) 2020.
[PDF]

Elena Sizikova, Carol Long, Omkar Kumbhar, Najib Majaj, Denis Pelli
Comparing Word Recognition by Humans and Deep Neural Networks
Poster at the Vision Sciences Society (VSS) 2020.
[Abstract] [Poster] [Video]

Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
Women in Data Science and Mathematics (WiSDM) Workshop Proceedings, ”Advances in Data Science”, AWM-Springer series, 2020
[PDF]

Elena Sizikova
Shape Synthesis Using Structure Aware Reasoning
PhD Thesis, Princeton University, 2019.
[PDF]

Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Conference on Computer Vision and Pattern Recognition (CVPR) 2019 Workshop.
[Competition] [Arxiv]

Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador
WiCV 2019: The Sixth Women In Computer Vision Workshop
Computer Vision and Pattern Recognition (CVPR) 2019.
[Paper]

Elena Balashova, Jingping Wang, Vivek Singh, Bogdan Georgescu, Brian Teixeira, Ankur Kapoor
3D Organ Shape Reconstruction from Topogram Images.
Information Processing in Medical Imaging (IPMI) 2019.
[Arxiv] [Poster]

Elena Balashova, Amit H Bermano, Vladimir G. Kim, Stephen DiVerdi, Aaron Hertzmann, Thomas Funkhouser
Learning A Stroke-Based Representation for Fonts.
Computer Graphics Forum 2018 (to be presented at Eurographics 2019).
[PDF] [Video] [Slides-PDF] [Data]

Elena Balashova, Vivek Singh, Brian Teixeira, Jingping Wang, Terrence Chen, Thomas Funkhouser.
Structure-Aware Shape Synthesis.
International Conference on 3D Vision (3DV) 2018. Spotlight Presentation.
[PDF] [Video] [Poster]

Brian Teixeira, Vivek Singh, Kai Ma, Birgi Tamersoy, Terrence Chen, Yifan Wu, Elena Balashova, Dorin Comaniciu.
Generating Synthetic X-ray Images of a Person from the Surface Geometry.
Conference on Computer Vision and Pattern Recognition (CVPR) 2018. Spotlight Presentation.
[PDF]

Elena Sizikova, Thomas Funkhouser.
Wall Painting Reconstruction Using a Genetic Algorithm.
ACM Journal on Computing and Cultural Heritage (JOCCH) 2018.
[PDF]

Antonia Stank, Daria B. Kokh, Max Horn, Elena Sizikova, Rebecca Neil, Joanna Panecka, Stefan Richter, Rebecca C. Wade.
TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets.
Nucleic Acids Research. April 2017.
[PDF] [Webpage]

Elena Sizikova, Vivek K. Singh, Bogdan Georgescu, Maciej Halber, Kai Ma, Terrence Chen.
Enhancing Place Recognition using Joint Intensity - Depth Analysis and Synthetic Data
European Conference on Computer Vision (ECCV) Workshop on Virtual/Augmented Reality for Visual Artificial Intelligence (VARVAI) 2016. Best Paper Award!
[PDF] [Poster] [Webpage]

Elena Sizikova, Thomas Funkhouser.
Wall Painting Reconstruction Using a Genetic Algorithm.
EUROGRAPHICS Workshop on Graphics and Cultural Heritage (GCH) 2016. Best Paper Award!
[PDF] [Slides] [Webpage]

Elena Sizikova, Thomas Funkhouser.
Automatically Assembling Frescos From Noisy Pairwise Fragment Measurements.
Computer Applications and Quantitative Methods in Archaeology (CAA 2015). Oral Presentation
[Slides]

Ohad Fried, Stephen Di Verdi, Maciej Halber, Elena Sizikova, Adam Finkelstein.
IsoMatch: Creating Informative Grid Layouts.
Eurographics 2015.
[Project Page] [Paper]

	Chirstie Quaranta, Imanol A. Ibarra, Eric Schwartz, Elena Sizikova. Improving Cross-lingual Search Quality. Joint Mathematical Meetings (JMM) 2013. Oral Presentation and Poster. [Abstract] [Poster] [Code] (* denotes equal contribution.)

	Rune Lyngsøe, James Anderson, Elena Sizikova, Amarendra Badugu, Tomas Hyland and Jotun Hein. Frnakenstein: multiple target inverse RNA folding. BMC Bioinformatics, 2012. [Paper] [Code]

Select Work Experience

Staff Fellow at CDRH/OSEL/DIDSR in the Food and Drug Administration (FDA), Silver Spring, MD August 2022 - Present
Moore Sloan Faculty Fellow/Assistant Professor in NYU Center for Data Science (CDS), New York, NY September 2019 - August 2022
Research Intern in Siemens Healthcare, Vision Technologies and Solutions (VTS), Princeton, NJ, Summer, Fall 2017
Research Intern in Creative Technologies Lab (CTL), Adobe Research, Seattle, WA, Summer 2016
Research Intern in Siemens Healthcare, Vision Technologies and Solutions (VTS), Princeton, NJ, Summer 2015 - Spring 2016
Software Engineer Intern in Heidelberg Institute for Theoretical Studies (HITS) Molecular and Cellular Modelling (MCM) group, Summer 2013
Project Manager of the USC Shoah Foundation Team, Research in Industrial Projects for Students (RIPS) Program, UCLA, Summer 2012
Research Intern in Genome Analysis group, Oxford Summer School in Computational Biology, Summer 2011

Teaching

Instructor, DS-GA 3001, Introduction to Computer Vision, New York University, Spring 2022. Website
NYU AI School 2022, Deep Learning I: Computer Vision Lecturer. Website
Instructor, CDS Capstone Project and Presentation Course, New York University, Fall 2021.
Instructor, DS-GA 3001, Introduction to Computer Vision, New York University, Spring 2021. Website
Instructor, CDS Capstone Project and Presentation Course, New York University, Fall 2020.
Instructor, CDS Capstone Project and Presentation Course, New York University, Fall 2019.
Teaching Assistant, COS 424, Fundamentals of Machine Learning, Princeton University, Spring 2016.
Teaching Assistant, COS 226, Algorithms and Data Structures, Princeton University, Fall 2015.

Paper Reviewing

Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2023
International Conference on Learning Representations (ICLR), 2022, 2023, 2024
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2022
European Conference on Computer Vision (ECCV), 2022
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
MICCCAI Medical Optical Imaging and Virtual Microscopy Image Analysis (MOVI) Workshop, 2022
Winter Conference on Applications of Computer Vision (WACV), 2022
Neural Information Processing Systems (NeurIPS), 2020, 2021, 2022
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2021, 2022
International Conference on Computer Vision (ICCV), 2021
Journal of Vision, 2021: Exceptional JOV Review Writer
Multidisciplinary Digital Publishing Institute (MDPI), 2021
Cognitive Science Society Conference (CogSci), 2021
Heritage, 2020
Journal on Computing and Cultural Heritage (JOCCH), 2020
Computer Vision and Pattern Recognition (CVPR) Workshop on Deep Learning for Geometric Computing (DLGC), 2020
Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH), 2020
British Machine Learning Conference (BMVC), 2019
Pacific Graphics (PG), 2018
International Journal of Computer Vision (IET), 2017
Journal of Computers & Graphics (CAG), 2016
Shape Modelling International (SMI), 2014

Service and Volunteering

Machine Learning for Health Conference (ML4H) 2022, Career Mentorship Sub-chair and Reviewer Mentor
Machine Learning for Health Conference (ML4H) 2021, Website Coordinator Sub-chair and Reviewer Mentor
NYU Center for Data Science (CDS) Diversity and Inclusion Committee, Faculty Fellow Representative, Fall 2020
NYU Center for Data Science (CDS) Summer Incubator Internship Program, Mentor, Spring 2020
CVPR Women in Computer Vision (WICV) Workshop, Mentor, June 2020
Try AI, Diversity and Inclusion Event at AAAI 2020, Mentor, February 2020
Deep Learning for Geometric Shape Understanding (SkelNetOn) at CVPR 2019 Point SkelNetOn Keeper January 2019 - June 2019
Women in Computer Vision Workshop (WiCV) at CVPR 2019 Organizer October 2018 - June 2019
Graduate Women in Science and Engineering (GWISE) - NYU High School Conference Mentor. November 2018.
AI-4ALL Summer camp in Princeton, NJ. AI-4ALL Summer camp Princeton, NJ. Summer 2018.
Princeton University Math Club Mentoring Mobius Program Mentor, October 2016 - December 2016
Teaching Assistant for Access Code Program HTML/CSS Workshop by Coalition for Queens (C4Q) in Brooklyn NY, February 2015
University of Oxford Math and CS Representative, Math Undergraduate Representative Committee (MURC), October 2010 - June 2013
University of Oxford Math and CS Representative, Oxford Salsa Society Webmaster, October 2010 - May 2013

Some Fun Things I Did

I made an educational game based on functional programming: TrainBox.
See how many levels you can pass!

I co-designed Princeton CS Sweatshirt logo in Spring 2017. The design was used to create sweatshirts for Princeton CS Department members.

"Many small people, in many small places, do many small things, that can alter the face of the world." -Anonymous

HOME
ABOUT
AUCTIONS
SHIPPING
FEES
TOOLS
HOW
FAQ
CONTACT

Original Source | Taken Source