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2020 – today
- 2024
[c38]Sophie Fischer, Irina Voiculescu:
Hairy Ground Truth Enhancement for Semantic Segmentation. CVPR Workshops 2024: 2404-2412- [c37]Junayed Naushad, Irina Voiculescu:
Super-Trustscore: Reliable Failure Detection for Automated Skin Lesion Diagnosis. ISBI 2024: 1-4 - [c36]James Willoughby, Irina Voiculescu:
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3d Segmentation. ISBI 2024: 1-4 - [c35]Allison Clement
, Abhinav Singh, Daniel C. Perry, Irina Voiculescu:
Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss. MIUA (2) 2024: 382-397 - [i16]James Willoughby, Irina Voiculescu:
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation. CoRR abs/2406.08217 (2024) - [i15]Julian Wyatt, Irina Voiculescu:
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy. CoRR abs/2407.09192 (2024) - [i14]Julian Wyatt, Irina Voiculescu:
Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection. CoRR abs/2410.04445 (2024) - [i13]Varduhi Yeghiazaryan, Yeva Gabrielyan, Irina Voiculescu:
Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation. CoRR abs/2410.08946 (2024) - [i12]James Willoughby, Irina Voiculescu:
Entropy Bootstrapping for Weakly Supervised Nuclei Detection. CoRR abs/2411.13528 (2024) - 2023
- [j10]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging 42(7): 1944-1954 (2023) - [c34]Andrew Stamper, Abhinav Singh, James McCouat, Irina Voiculescu:
Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation. ISBI 2023: 1-4 - [c33]Ziyang Wang, Irina Voiculescu:
Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels. DEMI@MICCAI 2023: 1-10 - [c32]Ziyang Wang, Irina Voiculescu:
Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework. MILLanD@MICCAI 2023: 181-190 - 2022
- [j9]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: 108074 (2022) - [j8]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. 129: 108750 (2022) - [c31]Nanqing Dong, Jiayi Wang, Irina Voiculescu:
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CVPR Workshops 2022: 4211-4219 - [c30]James McCouat, Irina Voiculescu:
Contour-Hugging Heatmaps for Landmark Detection. CVPR 2022: 20565-20573 - [c29]Yeva Gabrielyan, Varduhi Yeghiazaryan, Irina Voiculescu:
Parallel Partitioning: Path Reducing and Union-Find Based Watershed for the GPU. ICIP 2022: 1501-1505 - [c28]Ziyang Wang, Nanqing Dong, Irina Voiculescu:
Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision. ICIP 2022: 1961-1965 - [c27]Ziyang Wang, Irina Voiculescu:
Triple-View Feature Learning for Medical Image Segmentation. REMIA@MICCAI 2022: 42-54 - [c26]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) 2022: 67-76 - [c25]Ziyang Wang, Jian-Qing Zheng, Irina Voiculescu:
An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers. MIUA 2022: 494-507 - [i11]Nanqing Dong, Jiayi Wang, Irina Voiculescu:
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CoRR abs/2204.08954 (2022) - [i10]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR abs/2206.15353 (2022) - [i9]Ziyang Wang, Irina Voiculescu:
Triple-View Feature Learning for Medical Image Segmentation. CoRR abs/2208.06303 (2022) - [i8]Andrew Stamper, Abhinav Singh, James McCouat, Irina Voiculescu:
Infant hip screening using multi-class ultrasound scan segmentation. CoRR abs/2211.04350 (2022) - 2021
- [j7]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: 102002 (2021) - [c24]Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu:
Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC 2021: 287 - [c23]Ziyang Wang, Irina Voiculescu:
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT. EMBC 2021: 2956-2959 - [c22]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: 6933-6936 - [c21]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: 21-25 - [c20]James McCouat, Irina Voiculescu, Siôn Glyn-Jones:
Automatically Diagnosing HIP Conditions from X-Rays using Landmark Detection. ISBI 2021: 179-182 - [c19]Mourad Gridach, Irina Voiculescu:
Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation. ISBI 2021: 1714-1717 - [c18]Nanqing Dong, Irina Voiculescu:
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. MICCAI (3) 2021: 378-387 - [c17]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) 2021: 779-794 - [c16]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: 127-130 - [i7]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR abs/2105.09580 (2021) - [i6]Nanqing Dong, Irina Voiculescu:
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. CoRR abs/2109.07504 (2021) - 2020
- [j6]Stuart Golodetz, Anurag Arnab, Irina Voiculescu, Stephen Cameron:
Simplifying TugGraph using zipping algorithms. Pattern Recognit. 103: 107257 (2020) - [c15]Mourad Gridach, Irina Voiculescu:
OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation. EndoCV@ISBI 2020: 26-29 - [i5]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 abs/2002.04700 (2020) - [i4]Ziyang Wang, Zhengdong Zhang, Jian-Qing Zheng, Baoru Huang, Irina Voiculescu, Guang-Zhong Yang:
Deep Learning in Medical Ultrasound Image Segmentation: a Review. CoRR abs/2002.07703 (2020) - [i3]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 abs/2009.12873 (2020) - [i2]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 abs/2010.06034 (2020) - [i1]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 abs/2011.14164 (2020)
2010 – 2019
- 2018
- [c14]Varduhi Yeghiazaryan, Irina Voiculescu:
Path Reducing Watershed for the GPU. WACV 2018: 577-585 - 2017
- [j5]Stuart Golodetz, Irina Voiculescu, Stephen Cameron:
Simpler editing of graph-based segmentation hierarchies using zipping algorithms. Pattern Recognit. 70: 44-59 (2017) - [c13]Laura Diosan, Anca Andreica, Imre Boros, Irina Voiculescu:
Avenues for the Use of Cellular Automata in Image Segmentation. EvoApplications (1) 2017: 282-296 - [c12]Samuel Littley, Irina Voiculescu:
Interpolation of 3D slice volume data for 3D printing. Image-Guided Procedures 2017: 101351E - [c11]Varduhi Yeghiazaryan, Irina Voiculescu:
Boundary overlap for medical image segmentation evaluation. Image-Guided Procedures 2017: 101351J - 2016
- [c10]Marija Marcan, Irina Voiculescu:
Unsupervised segmentation of MRI knees using image partition forests. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880D - [c9]Varduhi Yeghiazaryan, Irina Voiculescu:
Automated 3D renal segmentation based on image partitioning. Image Processing 2016: 97842E - [c8]Anca Andreica, Laura Diosan, Irina Voiculescu:
Parameterized Cellular Automata in Image Segmentation. SYNASC 2016: 199-205 - 2015
- [c7]Irina Voiculescu, Stephen Cameron, Manfred Zabarauskas, Piotr Kozlowski:
Towards Robot-Assisted Rehabilitation of Upper Limb Dysfunction. RAAD 2015: 347-355 - 2014
- [j4]Stuart Golodetz, C. Nicholls, Irina Voiculescu, Stephen Cameron:
Two tree-based methods for the waterfall. Pattern Recognit. 47(10): 3276-3292 (2014) - 2013
- [j3]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): 3367-3372 (2013) - 2011
- [c6]Narayan Kamath, Irina Voiculescu, Chee K. Yap:
Empirical study of an evaluation-based subdivision algorithm for complex root isolation. SNC 2011: 155-164
2000 – 2009
- 2009
- [j2]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): 715-724 (2009) - [c5]Stephen Drape, Irina Voiculescu:
Creating Transformations for Matrix Obfuscation. SAS 2009: 273-292 - 2008
- [c4]Stuart Golodetz, Irina Voiculescu, Stephen Cameron:
Region analysis of abdominal CT scans using image partition forests. CSTST 2008: 432-437 - 2007
- [c3]Stuart Golodetz, Irina Voiculescu, Stephen Cameron:
A Proposed Decision-Support System for (Renal) Cancer Imaging. FBIT 2007: 361-366 - 2002
- [j1]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): 553-587 (2002) - 2000
- [c2]Adrian Bowyer, Jakob Berchtold, David Eisenthal, Irina Voiculescu, Kevin D. Wise:
Interval Methods in Geometric Modeling. GMP 2000: 321-327 - [c1]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: 410-423
Coauthor Index
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