Irina Voiculescu

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 47

Top Topics

Cellular Automata

Partially Supervised

Top Venues

Pattern Recognit.

Publications

James Willoughby, Irina Voiculescu
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation. CoRR (2024)
Allison Clement, Abhinav Singh, Daniel C. Perry, Irina Voiculescu
Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss. MIUA (2) (2024)
Julian Wyatt, Irina Voiculescu
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy. CoRR (2024)
Ziyang Wang, Irina Voiculescu
Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels. DEMI@MICCAI (2023)
Andrew Stamper, Abhinav Singh, James McCouat, Irina Voiculescu
Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation. ISBI (2023)
Ziyang Wang, Irina Voiculescu
Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework. MILLanD@MICCAI (2023)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging 42 (7) (2023)
Andrew Stamper, Abhinav Singh, James McCouat, Irina Voiculescu
Infant hip screening using multi-class ultrasound scan segmentation. CoRR (2022)
Ziyang Wang, Irina Voiculescu
Triple-View Feature Learning for Medical Image Segmentation. CoRR (2022)
Nanqing Dong, Jiayi Wang, Irina Voiculescu
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CVPR Workshops (2022)
James McCouat, Irina Voiculescu
Contour-Hugging Heatmaps for Landmark Detection. CVPR (2022)
Yeva Gabrielyan, Varduhi Yeghiazaryan, Irina Voiculescu
Parallel Partitioning: Path Reducing and Union-Find Based Watershed for the GPU. ICIP (2022)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114 (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) (2022)
Ziyang Wang, Irina Voiculescu
Triple-View Feature Learning for Medical Image Segmentation. REMIA@MICCAI (2022)
Ziyang Wang, Nanqing Dong, Irina Voiculescu
Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision. ICIP (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR (2022)
Ziyang Wang, Jian-Qing Zheng, Irina Voiculescu
An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers. MIUA (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. 129 (2022)
Nanqing Dong, Jiayi Wang, Irina Voiculescu
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CoRR (2022)
Jassim Happa, Taylor Bennett, Stefano Gogioso, Irina Voiculescu, David Howell, Sally Crawford, Katharina Ulmschneider, Christopher Ramsey
Bridging the Discipline Gap: Towards Improving Heritage and Computer Graphics Research Collaboration. GCH (2021)
Ziyang Wang, Irina Voiculescu
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT. EMBC (2021)
Nanqing Dong, Irina Voiculescu
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. MICCAI (3) (2021)
Ziyang Wang, Fani Deligianni, Irina Voiculescu, Guang-Zhong Yang
A Single RGB Camera Based Gait Analysis With A Mobile Tele-Robot For Healthcare. EMBC (2021)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR (2021)
Mourad Gridach, Irina Voiculescu
Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation. ISBI (2021)
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70 (2021)
Ziyang Wang, Zhengdong Zhang, Irina Voiculescu
RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels. ICIP (2021)
Nanqing Dong, Irina Voiculescu
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. CoRR (2021)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) (2021)
Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu
Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC (2021)
James McCouat, Irina Voiculescu, Siôn Glyn-Jones
Automatically Diagnosing HIP Conditions from X-Rays using Landmark Detection. ISBI (2021)
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR (2020)
Stuart Golodetz, Anurag Arnab, Irina Voiculescu, Stephen Cameron
Simplifying TugGraph using zipping algorithms. Pattern Recognit. 103 (2020)
Ziyang Wang, Fani Deligianni, Qi Liu, Irina Voiculescu, Guang-Zhong Yang
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare. CoRR (2020)
Mourad Gridach, Irina Voiculescu
OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation. EndoCV@ISBI (2020)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR (2020)
Ziyang Wang, Zhengdong Zhang, Irina Voiculescu
RRA-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels. CoRR (2020)
Ziyang Wang, Zhengdong Zhang, Jian-Qing Zheng, Baoru Huang, Irina Voiculescu, Guang-Zhong Yang
Deep Learning in Medical Ultrasound Image Segmentation: a Review. CoRR (2020)
Varduhi Yeghiazaryan, Irina Voiculescu
Path Reducing Watershed for the GPU. WACV (2018)
Samuel Littley, Irina Voiculescu
Interpolation of 3D slice volume data for 3D printing. Medical Imaging: Image-Guided Procedures (2017)
Stuart Golodetz, Irina Voiculescu, Stephen Cameron
Simpler editing of graph-based segmentation hierarchies using zipping algorithms. Pattern Recognit. 70 (2017)
Laura Diosan, Anca Andreica, Imre Boros, Irina Voiculescu
Avenues for the Use of Cellular Automata in Image Segmentation. EvoApplications (1) (2017)
Varduhi Yeghiazaryan, Irina Voiculescu
Boundary overlap for medical image segmentation evaluation. Medical Imaging: Image-Guided Procedures (2017)
Varduhi Yeghiazaryan, Irina Voiculescu
Automated 3D renal segmentation based on image partitioning. Medical Imaging: Image Processing (2016)
Anca Andreica, Laura Diosan, Irina Voiculescu
Parameterized Cellular Automata in Image Segmentation. SYNASC (2016)
Marija Marcan, Irina Voiculescu
Unsupervised segmentation of MRI knees using image partition forests. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Irina Voiculescu, Stephen Cameron, Manfred Zabarauskas, Piotr Kozlowski
Towards Robot-Assisted Rehabilitation of Upper Limb Dysfunction. RAAD (2015)
Stuart Golodetz, C. Nicholls, Irina Voiculescu, Stephen Cameron
Two tree-based methods for the waterfall. Pattern Recognit. 47 (10) (2014)
Gwyn S. Skone, Stephen Cameron, Irina Voiculescu
Doing a Good Turn: The Use of Quaternions for Rotation in Molecular Docking. J. Chem. Inf. Model. 53 (12) (2013)
Narayan Kamath, Irina Voiculescu, Chee K. Yap
Empirical study of an evaluation-based subdivision algorithm for complex root isolation. SNC (2011)
Stephen Drape, Irina Voiculescu
Creating Transformations for Matrix Obfuscation. SAS (2009)
Gwyn S. Skone, Irina Voiculescu, Stephen Cameron
Knowing when to give up: early-rejection stratagems in ligand docking. J. Comput. Aided Mol. Des. 23 (10) (2009)
Stuart Golodetz, Irina Voiculescu, Stephen Cameron
Region analysis of abdominal CT scans using image partition forests. CSTST (2008)
Stuart Golodetz, Irina Voiculescu, Stephen Cameron
A Proposed Decision-Support System for (Renal) Cancer Imaging. FBIT (2007)
Ralph R. Martin, Huahao Shou, Irina Voiculescu, Adrian Bowyer, Guojin Wang
Comparison of interval methods for plotting algebraic curves. Comput. Aided Geom. Des. 19 (7) (2002)
Irina Voiculescu, Jakob Berchtold, Adrian Bowyer, Ralph R. Martin, Qijiang Zhang
Interval and Affine Arithmetic for Surface Location of Power- and Bernstein-Form Polynomials. IMA Conference on the Mathematics of Surfaces (2000)
Adrian Bowyer, Jakob Berchtold, David Eisenthal, Irina Voiculescu, Kevin D. Wise
Interval Methods in Geometric Modeling. GMP (2000)