Elena Sizikova

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 35

Top Topics

Active Learning

Scene Text Recognition

Weakly Supervised

Computed Tomography

Top Venues

Publications

Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano
Scorecards for Synthetic Medical Data Evaluation and Reporting. CoRR (2024)
Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano
Synthetic Data in Radiological Imaging: Current State and Future Outlook. CoRR (2024)
Ajay Subramanian, Elena Sizikova, Najib J. Majaj, Denis G. Pelli
Spatial-frequency channels, shape bias, and adversarial robustness. NeurIPS (2023)
Chao Zheng, Xu Cao, Kun Tang, Zhipeng Cao, Elena Sizikova, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Xinrui Yan, Shuqi Mei
High-definition map automatic annotation system based on active learning. AI Mag. 44 (4) (2023)
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. ICASSP (2023)
Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. 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. CoRR (2023)
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. AAAI (2023)
Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. 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. NeurIPS (2023)
Ajay Subramanian, Elena Sizikova, Najib J. Majaj, Denis G. Pelli
Spatial-frequency channels, shape bias, and adversarial robustness. CoRR (2023)
Yuzhou Chen, Elena Sizikova, Yulia R. Gel
TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) (2022)
Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (2022)
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. CoRR (2022)
Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI (2022)
Elena Sizikova, Xu Cao, Ashia Lewis, Kenny Moise, Megan Coffee
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction. CoRR (2022)
Pranav Singh, Elena Sizikova, Jacopo Cirrone
CASS: Cross Architectural Self-Supervision for Medical Image Analysis. CoRR (2022)
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. CoRR (2022)
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. CoRR (2022)
Ajay Subramanian, Sara Price, Omkar Kumbhar, Elena Sizikova, Najib J. Majaj, Denis G. Pelli
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks. CoRR (2022)
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. CoRR (2022)
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
Large-Scale Unsupervised Object Discovery. NeurIPS (2021)
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
Large-Scale Unsupervised Object Discovery. CoRR (2021)
Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images. CoRR (2021)
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. ACSCC (2021)
Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images. ICCVW (2021)
Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL (2021)
Omkar Kumbhar, Elena Sizikova, Najib J. Majaj, Denis G. Pelli
Anytime Prediction as a Model of Human Reaction Time. CoRR (2020)
Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models. CoRR (2020)
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. CoRR (2020)
Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas A. Funkhouser
Learning to Infer Semantic Parameters for 3D Shape Editing. CoRR (2020)
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 NMF Models for Topic Modeling in Learning Tasks. CoRR (2020)
Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas A. Funkhouser
Learning to Infer Semantic Parameters for 3D Shape Editing. 3DV (2020)
Elena Sizikova, Thomas A. Funkhouser
Wall Painting Reconstruction Using a Genetic Algorithm. ACM Journal on Computing and Cultural Heritage 11 (1) (2018)
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 Res. 45 (Webserver-Issue) (2017)
Elena Sizikova, Thomas A. Funkhouser
Wall Painting Reconstruction Using a Genetic Algorithm. GCH (2016)
Elena Sizikova, Vivek Kumar Singh, Bogdan Georgescu, Maciej Halber, Kai Ma, Terrence Chen
Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data. ECCV Workshops (3) (2016)
Ohad Fried, Stephen DiVerdi, Maciej Halber, Elena Sizikova, Adam Finkelstein
IsoMatch: Creating Informative Grid Layouts. Comput. Graph. Forum 34 (2) (2015)
Rune B. Lyngsø, James W. J. Anderson, Elena Sizikova, Amarendra Badugu, Tomas Hyland, Jotun Hein
Frnakenstein: multiple target inverse RNA folding. BMC Bioinform. 13 (2012)