Irina Voiculescu

Orcid: 0000-0002-9104-8012

According to our database1, Irina Voiculescu authored at least 56 papers between 2000 and 2024.

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Bibliography

2024
Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation.
CoRR, 2024

Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection.
CoRR, 2024

Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy.
CoRR, 2024

Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Runtime Freezing: Dynamic Class Loss for Multi-Organ 3d Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Super-Trustscore: Reliable Failure Detection for Automated Skin Lesion Diagnosis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Hairy Ground Truth Enhancement for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Federated Partially Supervised Learning With Limited Decentralized Medical Images.
IEEE Trans. Medical Imaging, 2023

Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Negational symmetry of quantum neural networks for binary pattern classification.
Pattern Recognit., 2022

Towards robust partially supervised multi-structure medical image segmentation on small-scale data.
Appl. Soft Comput., 2022

An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Triple-View Feature Learning for Medical Image Segmentation.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parallel Partitioning: Path Reducing and Union-Find Based Watershed for the GPU.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Contour-Hugging Heatmaps for Landmark Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

Bridging the Discipline Gap: Towards Improving Heritage and Computer Graphics Research Collaboration.
Proceedings of the GCH 2021, 2021

Self-supervised Multi-task Representation Learning for Sequential Medical Images.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Federated Contrastive Learning for Decentralized Unlabeled Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automatically Diagnosing HIP Conditions from X-Rays using Landmark Detection.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Single RGB Camera Based Gait Analysis With A Mobile Tele-Robot For Healthcare.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Quantum Unsupervised Domain Adaptation: Does Entanglement Help?
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Simplifying TugGraph using zipping algorithms.
Pattern Recognit., 2020

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels.
CoRR, 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

RRA-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels.
CoRR, 2020

Deep Learning in Medical Ultrasound Image Segmentation: a Review.
CoRR, 2020

A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare.
CoRR, 2020

OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

2018
Path Reducing Watershed for the GPU.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Simpler editing of graph-based segmentation hierarchies using zipping algorithms.
Pattern Recognit., 2017

Boundary overlap for medical image segmentation evaluation.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Interpolation of 3D slice volume data for 3D printing.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Avenues for the Use of Cellular Automata in Image Segmentation.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
Parameterized Cellular Automata in Image Segmentation.
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

Automated 3D renal segmentation based on image partitioning.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Unsupervised segmentation of MRI knees using image partition forests.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Towards Robot-Assisted Rehabilitation of Upper Limb Dysfunction.
Proceedings of the Advances in Robot Design and Intelligent Control, 2015

2014
Two tree-based methods for the waterfall.
Pattern Recognit., 2014

2013
Doing a Good Turn: The Use of Quaternions for Rotation in Molecular Docking.
J. Chem. Inf. Model., 2013

2011
Empirical study of an evaluation-based subdivision algorithm for complex root isolation.
Proceedings of the SNC 2011, 2011

2009
Knowing when to give up: early-rejection stratagems in ligand docking.
J. Comput. Aided Mol. Des., 2009

Creating Transformations for Matrix Obfuscation.
Proceedings of the Static Analysis, 16th International Symposium, 2009

2008
Region analysis of abdominal CT scans using image partition forests.
Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008

2007
A Proposed Decision-Support System for (Renal) Cancer Imaging.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

2002
Comparison of interval methods for plotting algebraic curves.
Comput. Aided Geom. Des., 2002

2000
Interval and Affine Arithmetic for Surface Location of Power- and Bernstein-Form Polynomials.
Proceedings of the 9th IMA Conference on the Mathematics of Surfaces, 2000

Interval Methods in Geometric Modeling.
Proceedings of the Geometric Modeling and Processing 2000, 2000


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