Irina Voiculescu : Publications

Books

• [1]

  Implicit Curves and Surfaces: Mathematics‚ Data Structures and Algorithms

  Abel Gomes‚ Irina Voiculescu‚ Joaquim Jorge‚ Bryan Wyvill and Callum Galbraith

  Springer Verlag. 2009.

  Details about Implicit Curves and Surfaces: Mathematics‚ Data Structures and Algorithms | BibTeX data for Implicit Curves and Surfaces: Mathematics‚ Data Structures and Algorithms | Link to Implicit Curves and Surfaces: Mathematics‚ Data Structures and Algorithms

Journal papers

• [1]

  Dealing with Unreliable Annotations: A Noise−Robust Network for Semantic Segmentation through A Transformer−Improved Encoder and Convolution Decoder

  Ziyang Wang and Irina Voiculescu

  In Applied Sciences. Vol. 13. No. 13. Pages 7966. July, 2023.

  Details about Dealing with Unreliable Annotations: A Noise−Robust Network for Semantic Segmentation through A Transformer−Improved Encoder and Convolution Decoder | BibTeX data for Dealing with Unreliable Annotations: A Noise−Robust Network for Semantic Segmentation through A Transformer−Improved Encoder and Convolution Decoder | Link to Dealing with Unreliable Annotations: A Noise−Robust Network for Semantic Segmentation through A Transformer−Improved Encoder and Convolution Decoder

• [2]

  Federated Partially Supervised Learning with Limited Decentralized Medical Images

  Nanqing Dong‚ Michaek Kampffmeyer‚ Irina Voiculescu and Eric Xing

  In IEEE Transactions on Medical Imaging. December, 2022.

  Details about Federated Partially Supervised Learning with Limited Decentralized Medical Images | BibTeX data for Federated Partially Supervised Learning with Limited Decentralized Medical Images | Link to Federated Partially Supervised Learning with Limited Decentralized Medical Images

• [3]

  Federated Partially Supervised Learning with Limited Decentralized Medical Images

  Nanqing Dong‚ Michael Kampffmeyer‚ Irina Voiculescu and Eric Xing

  In IEEE Transactions on Medical Imaging. Pages 1−1. 2022.

  Details about Federated Partially Supervised Learning with Limited Decentralized Medical Images | BibTeX data for Federated Partially Supervised Learning with Limited Decentralized Medical Images | DOI (10.1109/TMI.2022.3231017)

• [4]

  On the use of multi–objective evolutionary classifiers for breast cancer detection

  Laura Diosan‚ Anca Andreica and Irina Voiculescu

  In PloS one. Vol. 17. No. 7. July, 2022.

  Details about On the use of multi–objective evolutionary classifiers for breast cancer detection | BibTeX data for On the use of multi–objective evolutionary classifiers for breast cancer detection | DOI (https://doi.org/10.1371/journal.pone.0269950)

• [5]

  Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification

  Nanqing Dong‚ Michaek Kampffmeyer‚ Irina Voiculescu and Eric Xing

  In Pattern Recognition. Vol. 129. Pages 108750. 2022.

  Details about Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification | BibTeX data for Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification | DOI (https://doi.org/10.1016/j.patcog.2022.108750)

• [6]

  Towards Robust Partially Supervised Multi−Structure Medical Image Segmentation on Small−Scale Data

  Nanqing Dong‚ Michael Kampffmeyer‚ Xiaodan Liang‚ Min Xu‚ Irina Voiculescu and Eric Xing

  In Applied Soft Computing. 2022.

  Details about Towards Robust Partially Supervised Multi−Structure Medical Image Segmentation on Small−Scale Data | BibTeX data for Towards Robust Partially Supervised Multi−Structure Medical Image Segmentation on Small−Scale Data | DOI (https://doi.org/10.1016/j.asoc.2021.108074)

• [7]

  Federated Contrastive Learning for Decentralized Unlabeled Medical Images

  Nanqing Dong and Irina Voiculescu

  In International Conference on Medical Image Computing and Computer−Assisted Intervention. Pages 379−387. 2021.

  Details about Federated Contrastive Learning for Decentralized Unlabeled Medical Images | BibTeX data for Federated Contrastive Learning for Decentralized Unlabeled Medical Images | DOI (https://doi.org/10.1007/978-3-030-87199-4_36) | Link to Federated Contrastive Learning for Decentralized Unlabeled Medical Images

• [8]

  Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

  Sharib Ali et al.

  In Medical Image Analysis. No. MEDIA−D−20−01236R1. 2021.

  Details about Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy | BibTeX data for Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy | Link to Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

• [9]

  Simplifying TugGraph using Zipping Algorithms

  Stuart Golodetz‚ Anurag Arnab‚ Irina Voiculescu and Stephen Cameron

  In Pattern Recognition. Vol. 103. Pages 107257. 2020.

  Details about Simplifying TugGraph using Zipping Algorithms | BibTeX data for Simplifying TugGraph using Zipping Algorithms | DOI (https://doi.org/10.1016/j.patcog.2020.107257) | Link to Simplifying TugGraph using Zipping Algorithms

• [10]

  Segmentation of Hip Cartilage in Compositional Magnetic Resonance Imaging: A Fast‚ Accurate‚ Reproducible‚ and Clinically Viable Semi−Automated Methodology

  Scott Fernquest‚ Daniel Park‚ Marija Marcan‚ Antony Palmer‚ Irina Voiculescu and Sion Glyn−Jones

  In Journal of Orthopaedic Research. 2018.

  Details about Segmentation of Hip Cartilage in Compositional Magnetic Resonance Imaging: A Fast‚ Accurate‚ Reproducible‚ and Clinically Viable Semi−Automated Methodology | BibTeX data for Segmentation of Hip Cartilage in Compositional Magnetic Resonance Imaging: A Fast‚ Accurate‚ Reproducible‚ and Clinically Viable Semi−Automated Methodology | DOI (10.1002/jor.23881) | Link to Segmentation of Hip Cartilage in Compositional Magnetic Resonance Imaging: A Fast‚ Accurate‚ Reproducible‚ and Clinically Viable Semi−Automated Methodology

• [11]

  A family of boundary overlap measures for the evaluation of medical image segmentation

  Varduhi Yeghiazaryan and Irina Voiculescu

  In SPIE Journal of Medical Imaging. Vol. 1 of 5. Pages 015006. 2018.

  Details about A family of boundary overlap measures for the evaluation of medical image segmentation | BibTeX data for A family of boundary overlap measures for the evaluation of medical image segmentation | DOI (10.1117/1.JMI.5.1.015006) | Link to A family of boundary overlap measures for the evaluation of medical image segmentation

• [12]

  Simpler Editing of Graph−Based Segmentation Hierarchies using Zipping Algorithms

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  In Pattern Recognition. Vol. 70. Pages 44−59. October, 2017.

  Details about Simpler Editing of Graph−Based Segmentation Hierarchies using Zipping Algorithms | BibTeX data for Simpler Editing of Graph−Based Segmentation Hierarchies using Zipping Algorithms

• [13]

  Two Tree−Based Methods for the Waterfall

  S. M. Golodetz‚ C. Nicholls‚ I. D. Voiculescu and S. A. Cameron

  In Pattern Recognition. Vol. 47(10). Pages 3276−3292. October, 2014.

  Details about Two Tree−Based Methods for the Waterfall | BibTeX data for Two Tree−Based Methods for the Waterfall | Link to Two Tree−Based Methods for the Waterfall

• [14]

  Doing a Good Turn: The Use of Quaternions for Rotation in Molecular Docking

  Gwyn Skone‚ Stephen Cameron and Irina Voiculescu

  In Journal of Chemical Information and Modeling. November, 2013.

  Details about Doing a Good Turn: The Use of Quaternions for Rotation in Molecular Docking | BibTeX data for Doing a Good Turn: The Use of Quaternions for Rotation in Molecular Docking | DOI (10.1021/ci4005139) | Link to Doing a Good Turn: The Use of Quaternions for Rotation in Molecular Docking

• [15]

  Knowing When To Give Up: Early−Rejection Stratagems in High−Throughput Virtual Screening

  Gwyn Skone‚ Irina Voiculescu and Stephen Cameron

  In Journal of Computer−Aided Molecular Design. Vol. 23. Pages 715−724. 2009.

  Details about Knowing When To Give Up: Early−Rejection Stratagems in High−Throughput Virtual Screening | BibTeX data for Knowing When To Give Up: Early−Rejection Stratagems in High−Throughput Virtual Screening | DOI (10.1007/s10822-009-9296-x) | Download (pdf) of Knowing When To Give Up: Early−Rejection Stratagems in High−Throughput Virtual Screening

• [16]

  Affine arithmetic in matrix form for polynomial evaluation and algebraic curve drawing

  Huahao Shou‚ Ralph Martin‚ Irina Voiculescu‚ Adrian Bowyer and Guojin Wang

  In Progress in Natural Science. Vol. 12 (1). Pages 77−81. 2002.

  Details about Affine arithmetic in matrix form for polynomial evaluation and algebraic curve drawing | BibTeX data for Affine arithmetic in matrix form for polynomial evaluation and algebraic curve drawing

• [17]

  Comparison of interval methods for plotting algebraic curves

  Ralph Martin‚ Huahao Shou‚ Irina Voiculescu‚ Adrian Bowyer and Guojin Wang

  In Computer Aided Geometric Design. Vol. Volume 19‚ Issue 7. Pages 553−587. 2002.

  Details about Comparison of interval methods for plotting algebraic curves | BibTeX data for Comparison of interval methods for plotting algebraic curves

Conference papers

• [1]

  Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis

  Junayed Naushad and Irina Voiculescu

  In IEEE International Symposium on Biomedical Imaging (ISBI). May, 2024.

  Details about Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis | BibTeX data for Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis | Link to Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis

• [2]

  Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation

  James Willoughby and Irina Voiculescu

  In IEEE International Symposium on Biomedical Imaging (ISBI). May, 2024.

  Details about Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation | BibTeX data for Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation | Link to Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation

• [3]

  Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo−Labels

  Ziyang Wang and Irina Voiculescu

  In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Data Engineering in Medical Imaging (DEMI) Workshop. October, 2023.

  Best Paper Award‚ Data Engineering in Medical Imaging (DEMI)

  Details about Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo−Labels | BibTeX data for Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo−Labels | Link to Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo−Labels

• [4]

  Exigent Examiner and Mean Teacher: A Novel 3D CNN−based Semi−Supervised Learning Framework for Brain Tumor Segmentation

  Ziyang Wang and Irina Voiculescu

  In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). The 2nd Workshop of Medical Image Learning with Limited & Noisy Data (MILLanD). October, 2023.

  Details about Exigent Examiner and Mean Teacher: A Novel 3D CNN−based Semi−Supervised Learning Framework for Brain Tumor Segmentation | BibTeX data for Exigent Examiner and Mean Teacher: A Novel 3D CNN−based Semi−Supervised Learning Framework for Brain Tumor Segmentation | Link to Exigent Examiner and Mean Teacher: A Novel 3D CNN−based Semi−Supervised Learning Framework for Brain Tumor Segmentation

• [5]

  Screening Infant Hips: DDH Diagnosis Via Deep Learning

  Andrew Stamper‚ Abhinav Singh‚ James McCouat and Irina Voiculescu

  In IEEE International Symposium on Biomedical Imaging (ISBI). April, 2023.

  Details about Screening Infant Hips: DDH Diagnosis Via Deep Learning | BibTeX data for Screening Infant Hips: DDH Diagnosis Via Deep Learning | Link to Screening Infant Hips: DDH Diagnosis Via Deep Learning

• [6]

  Triple−View Feature Learning for Medical Image Segmentation

  Ziyang Wang and Irina Voiculescu

  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop. 2022.

  Details about Triple−View Feature Learning for Medical Image Segmentation | BibTeX data for Triple−View Feature Learning for Medical Image Segmentation | Link to Triple−View Feature Learning for Medical Image Segmentation

• [7]

  An uncertainty−aware transformer for MRI cardiac semantic segmentation via mean teachers

  Ziyang Wang‚ Jian−Qing Zheng and Irina Voiculescu

  Annual Conference on Medical Image Understanding and Analysis. 2022.

  Details about An uncertainty−aware transformer for MRI cardiac semantic segmentation via mean teachers | BibTeX data for An uncertainty−aware transformer for MRI cardiac semantic segmentation via mean teachers | Link to An uncertainty−aware transformer for MRI cardiac semantic segmentation via mean teachers

• [8]

  Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision

  Ziyang Wang‚ Nanqing Dong and Irina Voiculescu

  IEEE International Conference on Image Processing. October, 2022.

  Details about Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision | BibTeX data for Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision | Link to Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision

• [9]

  Parallel partitioning: path reducing and union–find based watershed for the GPU

  Yeva Gabrielyan‚ Varduhi Yeghiazaryan and Irina Voiculescu

  In Proceedings of the 29th IEEE International Conference on Image Processing (ICIP 2022). IEEE. October, 2022.

  Details about Parallel partitioning: path reducing and union–find based watershed for the GPU | BibTeX data for Parallel partitioning: path reducing and union–find based watershed for the GPU | Link to Parallel partitioning: path reducing and union–find based watershed for the GPU

• [10]

  Fast and Accurate Automatic Measurements of the Hip from X−rays using AI

  James McCouat‚ Irina Voiculescu and Sion Glyn−Jones

  AI in Orthopaedics‚ Orthopaedic Research UK (ORUK). September, 2022.

  Details about Fast and Accurate Automatic Measurements of the Hip from X−rays using AI | BibTeX data for Fast and Accurate Automatic Measurements of the Hip from X−rays using AI | Link to Fast and Accurate Automatic Measurements of the Hip from X−rays using AI

• [11]

  Automatic identification of clinical landmarks and calculation of Graf angles in 2D DDH screening ultrasound images: a pilot study

  Abhinav Singh‚ James McCouat‚ Irina Voiculescu‚ Daniel Perry and Sandeep Hemmadi

  British Orthopaedic Association (BOA) Congress. September, 2022.

  Details about Automatic identification of clinical landmarks and calculation of Graf angles in 2D DDH screening ultrasound images: a pilot study | BibTeX data for Automatic identification of clinical landmarks and calculation of Graf angles in 2D DDH screening ultrasound images: a pilot study

• [12]

  Automatic identification of clinical features and calculation of femoral head coverage in 2D DDH screening ultrasound images: a pilot study

  Abhinav Singh‚ Andrew Stamper‚ Irina Voiculescu‚ Daniel Perry and Sandeep Hemmadi

  British Orthopaedic Association (BOA) Congress. September, 2022.

  Details about Automatic identification of clinical features and calculation of femoral head coverage in 2D DDH screening ultrasound images: a pilot study | BibTeX data for Automatic identification of clinical features and calculation of femoral head coverage in 2D DDH screening ultrasound images: a pilot study

• [13]

  Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity

  Nanqing Dong‚ Jiayi Wang and Irina Voiculescu

  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4212−4220. 2022.

  Details about Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity | BibTeX data for Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity | DOI (https://doi.org/10.1109/CVPRW56347.2022.00466) | Link to Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity

• [14]

  Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

  Nanqing Dong‚ Michael Kampffmeyer and Irina Voiculescu

  In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2022.

  Details about Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | BibTeX data for Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | Link to Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

• [15]

  Contour−Hugging Heatmaps for Landmark Detection

  James McCouat and Irina Voiculescu

  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June, 2022.

  Details about Contour−Hugging Heatmaps for Landmark Detection | BibTeX data for Contour−Hugging Heatmaps for Landmark Detection | Link to Contour−Hugging Heatmaps for Landmark Detection

• [16]

  A single RGB camera based gait analysis with a mobile tele−robot for healthcare

  Ziyang Wang‚ Deligianni Fani‚ Irina Voiculescu and GZ Yang

  2021.

  Details about A single RGB camera based gait analysis with a mobile tele−robot for healthcare | BibTeX data for A single RGB camera based gait analysis with a mobile tele−robot for healthcare | Link to A single RGB camera based gait analysis with a mobile tele−robot for healthcare

• [17]

  Quadruple Augmented Pyramid Network for Multi−class COVID−19 Segmentation via CT

  Ziyang Wang and Irina Voiculescu

  In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2021.

  Details about Quadruple Augmented Pyramid Network for Multi−class COVID−19 Segmentation via CT | BibTeX data for Quadruple Augmented Pyramid Network for Multi−class COVID−19 Segmentation via CT | Link to Quadruple Augmented Pyramid Network for Multi−class COVID−19 Segmentation via CT

• [18]

  Self−supervised multi−task representation learning for sequential medical images

  Nanqing Dong‚ Michael Kampffmeier and Irina Voiculescu

  The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML−PKDD 21). September, 2021.

  Details about Self−supervised multi−task representation learning for sequential medical images | BibTeX data for Self−supervised multi−task representation learning for sequential medical images | Link to Self−supervised multi−task representation learning for sequential medical images

• [19]

  Federated Contrastive Learning for Decentralized Unlabeled Medical Images

  Nanqing Dong and Irina Voiculescu

  Medical Image Computing and Computer Assisted Intervention (MICCAI). September, 2021.

  Details about Federated Contrastive Learning for Decentralized Unlabeled Medical Images | BibTeX data for Federated Contrastive Learning for Decentralized Unlabeled Medical Images

• [20]

  RAR−U−Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels

  Ziyang Wang‚ Zhengdong Zhang and Irina Voiculescu

  IEEE International Conference on Image Processing. September, 2021.

  Details about RAR−U−Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels | BibTeX data for RAR−U−Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels | Link to RAR−U−Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels

• [21]

  Automatically Diagnosing Hip Conditions from X−rays using Landmark Detection

  James McCouat‚ Sion Glyn−Jones and Irina Voiculescu

  In IEEE International Symposium on Biomedical Imaging (ISBI). April, 2021.

  Details about Automatically Diagnosing Hip Conditions from X−rays using Landmark Detection | BibTeX data for Automatically Diagnosing Hip Conditions from X−rays using Landmark Detection | Link to Automatically Diagnosing Hip Conditions from X−rays using Landmark Detection

• [22]

  DOPNet: Densely Oriented Pooling Network for Medical Image Segmentation

  Mourad Gridach and Irina Voiculescu

  In IEEE International Symposium on Biomedical Imaging (ISBI). April, 2021.

  Details about DOPNet: Densely Oriented Pooling Network for Medical Image Segmentation | BibTeX data for DOPNet: Densely Oriented Pooling Network for Medical Image Segmentation | Link to DOPNet: Densely Oriented Pooling Network for Medical Image Segmentation

• [23]

  Automated Scoring of Drawings from a Tablet−Based Complex Figure Copy Task

  Sam S Webb‚ Margaret Jane Moore‚ Anna Yamshchikova‚ Valeska Kozik‚ Mihaela D Duta‚ Irina Voiculescu and Nele Demeyere

  UK Stroke Forum. December, 2020.

  Details about Automated Scoring of Drawings from a Tablet−Based Complex Figure Copy Task | BibTeX data for Automated Scoring of Drawings from a Tablet−Based Complex Figure Copy Task | Link to Automated Scoring of Drawings from a Tablet−Based Complex Figure Copy Task

• [24]

  OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation

  Mourad Gridach and Irina Voiculescu

  Vol. 2595 of CEUR Workshop Proceedings. Pages 26–29. CEUR−WS.org. 2020.

  Details about OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation | BibTeX data for OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation | Link to OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation

• [25]

  Path reducing watershed for the GPU

  Varduhi Yeghiazaryan and Irina Voiculescu

  IEEE Winter Conf. on Applications of Computer Vision. 2018.

  Details about Path reducing watershed for the GPU | BibTeX data for Path reducing watershed for the GPU | Link to Path reducing watershed for the GPU

• [26]

  Semi–automated Segmentation of Hip Cartilage in Physiological Magnetic Resonance Imaging: A Fast‚ Accurate‚ and Clinically Viable Methodology

  Daniel J Park‚ Scott Fernquest‚ Marija Marcan‚ Antony Palmer‚ Irina Voiculescu and Sion Glyn–Jones.

  International Society for Magnetic Resonance in Medicine (ISMRM) 25th Annual Meeting. 2017.

  Details about Semi–automated Segmentation of Hip Cartilage in Physiological Magnetic Resonance Imaging: A Fast‚ Accurate‚ and Clinically Viable Methodology | BibTeX data for Semi–automated Segmentation of Hip Cartilage in Physiological Magnetic Resonance Imaging: A Fast‚ Accurate‚ and Clinically Viable Methodology

• [27]

  Avenues for the Use of Multi–State Cellular Automata

  Laura Diosan‚ Anca Andreica‚ Imre Boros and Irina Voiculescu

  In Proceedings of Evolutionary Algorithms and Complex Systems. EvoStar. 2017.

  Details about Avenues for the Use of Multi–State Cellular Automata | BibTeX data for Avenues for the Use of Multi–State Cellular Automata

• [28]

  Interpolation of 3D slice volume data for 3D printing

  Samuel Littley and Irina Voiculescu

  In Proceedings of SPIE Medical Imaging. SPIE International Society for Optics and Photonics. February, 2017.

  Details about Interpolation of 3D slice volume data for 3D printing | BibTeX data for Interpolation of 3D slice volume data for 3D printing | DOI (10.1117/12.2254616)

• [29]

  Boundary Overlap for Medical Image Segmentation Evaluation

  Varduhi Yeghiazaryan and Irina Voiculescu

  In Proceedings of SPIE Medical Imaging. SPIE International Society for Optics and Photonics. February, 2017.

  Details about Boundary Overlap for Medical Image Segmentation Evaluation | BibTeX data for Boundary Overlap for Medical Image Segmentation Evaluation | DOI (10.1117/12.2254496)

• [30]

  Parameterized Cellular Automata in Image Segmentation

  Laura Diosan‚ Anca Andreica and Irina Voiculescu

  In 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). September, 2016.

  Details about Parameterized Cellular Automata in Image Segmentation | BibTeX data for Parameterized Cellular Automata in Image Segmentation

• [31]

  Unsupervised segmentation of MRI knees using image partition forests

  Marija Marcan and Irina Voiculescu

  In SPIE Medical Imaging. SPIE International Society for Optics and Photonics. February, 2016.

  Details about Unsupervised segmentation of MRI knees using image partition forests | BibTeX data for Unsupervised segmentation of MRI knees using image partition forests | Link to Unsupervised segmentation of MRI knees using image partition forests

• [32]

  Automated 3D Renal Segmentation Based on Image Partitioning

  Varduhi Yeghiazaryan and Irina D. Voiculescu

  In Proceedings of SPIE Medical Imaging. SPIE International Society for Optics and Photonics. February, 2016.

  Details about Automated 3D Renal Segmentation Based on Image Partitioning | BibTeX data for Automated 3D Renal Segmentation Based on Image Partitioning | Link to Automated 3D Renal Segmentation Based on Image Partitioning

• [33]

  Towards Robot−Assisted Rehabilitation of Upper Limb Dysfunction

  Irina Voiculescu‚ Stephen Cameron‚ Manfred Zabarauskas and Piotr Kozlowski

  In Advances in Robot Design and Intelligent Control. Vol. 371 of Advances in Intelligent Systems and Computing. Springer. 2015.

  Details about Towards Robot−Assisted Rehabilitation of Upper Limb Dysfunction | BibTeX data for Towards Robot−Assisted Rehabilitation of Upper Limb Dysfunction | DOI (10.1007/978-3-319-21290-6_35)

• [34]

  Empirical Study of an Evaluation−Based Subdivision Algorithm for Complex Root Isolation

  Narayan Kamath‚ Irina Voiculescu and Chee Yap

  Pages 155−164. 4th Int'l Workshop on Symbolic Numeric Computation (SNC). June, 2011.

  Details about Empirical Study of an Evaluation−Based Subdivision Algorithm for Complex Root Isolation | BibTeX data for Empirical Study of an Evaluation−Based Subdivision Algorithm for Complex Root Isolation

• [35]

  Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  In Proceedings of ISPA 2009. September, 2009.

  Details about Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests | BibTeX data for Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests | Download (pdf) of Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests

• [36]

  Creating transformations for matrix obfuscation

  Stephen Drape and Irina Voiculescu

  In Proceedings of SAS 2009. August, 2009.

  Details about Creating transformations for matrix obfuscation | BibTeX data for Creating transformations for matrix obfuscation | Download  (pdf) of Creating transformations for matrix obfuscation | DOI (10.1007/978-3-642-03237-0_19)

• [37]

  Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper)

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  In Lucia Lo Bello and Giancarlo Iannizzotto, editors, Proceedings of HSI 2009. Pages 116−119. May, 2009.

  Best Paper Award‚ Telemedicine and e−Health

  Details about Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper) | BibTeX data for Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper) | LCCN (2009900916) | Download (pdf) of Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper)

• [38]

  Region Analysis of Abdominal CT Scans using Image Partition Forests

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  In Proceedings of CSTST 2008. Pages 432−7. October, 2008.

  Best Workshop Paper Award

  Details about Region Analysis of Abdominal CT Scans using Image Partition Forests | BibTeX data for Region Analysis of Abdominal CT Scans using Image Partition Forests | Download (pdf) of Region Analysis of Abdominal CT Scans using Image Partition Forests

• [39]

  Basic Strategies for Molecular Docking with Scoring Functions

  Gwyn Skone‚ Stephen Cameron and Irina Voiculescu

  In German Conference on Bioinformatics. September, 2008.

  Details about Basic Strategies for Molecular Docking with Scoring Functions | BibTeX data for Basic Strategies for Molecular Docking with Scoring Functions

• [40]

  A Proposed Decision−Support System for (Renal) Cancer Imaging

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  In Proceedings of FBIT 2007. October, 2007.

  Details about A Proposed Decision−Support System for (Renal) Cancer Imaging | BibTeX data for A Proposed Decision−Support System for (Renal) Cancer Imaging | Download (pdf) of A Proposed Decision−Support System for (Renal) Cancer Imaging

• [41]

  A recursive Taylor method for algebraic curves and surfaces

  Huahao Shou‚ Ralph Martin‚ Guojin Wang‚ Adrian Bowyer and Irina Voiculescu

  In Tor Dokken and Bert Juettler, editors, Computational methods for algebraic spline surfaces (COMPASS). Pages 135−155. Springer Verlag. October, 2003.

  Details about A recursive Taylor method for algebraic curves and surfaces | BibTeX data for A recursive Taylor method for algebraic curves and surfaces

• [42]

  A comparison of Bernstein hull and affine arithmetic methods for algebraic curve drawing

  Ralph Martin‚ Huahao Shou‚ Irina Voiculescu and Guojin Wang

  In Joab Winkler and Mareshan Niranjan, editors, Uncertainty in geometric computations. Pages 143−154. Kluwer Academic Publishers. July, 2001.

  Details about A comparison of Bernstein hull and affine arithmetic methods for algebraic curve drawing | BibTeX data for A comparison of Bernstein hull and affine arithmetic methods for algebraic curve drawing

• [43]

  Affine intervals in a CSG geometric modeller

  Adrian Bowyer‚ Ralph Martin‚ Huahao Shou and Irina Voiculescu

  In Joab Winkler and Mareshan Niranjan, editors, Uncertainty in geometric computations. Pages 1−14. Kluwer Academic Publishers. July, 2001.

  Details about Affine intervals in a CSG geometric modeller | BibTeX data for Affine intervals in a CSG geometric modeller

• [44]

  Interval Methods in Geometric Modelling

  Adrian Bowyer‚ Jakob Berchtold‚ David Eisenthal‚ Irina Voiculescu and Kevin Wise

  In Geometric Modelling and Processing 2000. IEEE Computer Society. April, 2000.

  Details about Interval Methods in Geometric Modelling | BibTeX data for Interval Methods in Geometric Modelling

• [45]

  Interval and Affine Arithmetic for Surface Location of Power− and Bernstein−form Polynomials

  Irina Voiculescu‚ Jakob Berchtold‚ Adrian Bowyer‚ Ralph R. Martin and Qijiang Zhang

  In Roberto Cipolla and Ralph Martin, editors, Mathematics of Surfaces IX. Pages 410−423. Springer−Verlag. September, 2000.

  Details about Interval and Affine Arithmetic for Surface Location of Power− and Bernstein−form Polynomials | BibTeX data for Interval and Affine Arithmetic for Surface Location of Power− and Bernstein−form Polynomials

Technical reports

• [1]

  An Overview of Current Evaluation Methods Used in Medical Image Segmentation

  Varduhi Yeghiazaryan and Irina Voiculescu

  No. RR−15−08. Department of Computer Science. Oxford‚ UK. 2015.

  Details about An Overview of Current Evaluation Methods Used in Medical Image Segmentation | BibTeX data for An Overview of Current Evaluation Methods Used in Medical Image Segmentation | Download  (pdf) of An Overview of Current Evaluation Methods Used in Medical Image Segmentation

• [2]

  The Use of Fast Marching Methods in Medical Image Segmentation

  Varduhi Yeghiazaryan and Irina Voiculescu

  No. CS−RR−15−07. Department of Computer Science. Oxford‚ UK. 2015.

  Details about The Use of Fast Marching Methods in Medical Image Segmentation | BibTeX data for The Use of Fast Marching Methods in Medical Image Segmentation | Download  (pdf) of The Use of Fast Marching Methods in Medical Image Segmentation

• [3]

  Simpler Editing of Spatially−Connected Graph Hierarchies using Zipping Algorithms

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  No. CS−RR−15−06. Department of Computer Science. Oxford‚ UK. 2015.

  Details about Simpler Editing of Spatially−Connected Graph Hierarchies using Zipping Algorithms | BibTeX data for Simpler Editing of Spatially−Connected Graph Hierarchies using Zipping Algorithms | Download  (pdf) of Simpler Editing of Spatially−Connected Graph Hierarchies using Zipping Algorithms | Link to Simpler Editing of Spatially−Connected Graph Hierarchies using Zipping Algorithms

• [4]

  The Use of Matrices in Obfuscation

  Stephen Drape and Irina Voiculescu

  No. RR−08−12. Oxford University Computing Laboratory. December, 2008.

  Details about The Use of Matrices in Obfuscation | BibTeX data for The Use of Matrices in Obfuscation | Download  (pdf) of The Use of Matrices in Obfuscation

Miscellaneous

• [1]

  Reinforcement learning techniques for the assessment of murine MicroCT images

  Mokrane Gaci‚ Edoardo Pirovano‚ Navraj S Nagra‚ Sarah J B Snelling and Irina Voiculescu

  2017.

  Details about Reinforcement learning techniques for the assessment of murine MicroCT images | BibTeX data for Reinforcement learning techniques for the assessment of murine MicroCT images

• [2]

  Boundary overlap for medical image segmentation evaluation

  Varduhi Yeghiazaryan and Irina Voiculescu

  2017.

  Details about Boundary overlap for medical image segmentation evaluation | BibTeX data for Boundary overlap for medical image segmentation evaluation

• [3]

  Novel Parallel Watershed for Faster Image Partitioning

  Varduhi Yeghiazaryan and Irina Voiculescu

  2017.

  Details about Novel Parallel Watershed for Faster Image Partitioning | BibTeX data for Novel Parallel Watershed for Faster Image Partitioning

• [4]

  Common Evaluation Measures in Medical Image Segmentation: Experimental Comparison

  Varduhi Yeghiazaryan and Irina Voiculescu

  2016.

  Details about Common Evaluation Measures in Medical Image Segmentation: Experimental Comparison | BibTeX data for Common Evaluation Measures in Medical Image Segmentation: Experimental Comparison

• [5]

  The Sensitivity to Boundary Errors of Image Segmentation Evaluation Measures

  Varduhi Yeghiazaryan and Irina Voiculescu

  2016.

  Details about The Sensitivity to Boundary Errors of Image Segmentation Evaluation Measures | BibTeX data for The Sensitivity to Boundary Errors of Image Segmentation Evaluation Measures

• [6]

  Progress towards unsupervised medical image segmentation

  Varduhi Yeghiazaryan and Irina Voiculescu

  2015.

  Details about Progress towards unsupervised medical image segmentation | BibTeX data for Progress towards unsupervised medical image segmentation

• [7]

  Towards unsupervised segmentation of the knee from MRI images based on image partition forests

  Marija Marcan‚ Varduhi Yeghiazaryan and Irina Voiculescu

  2015.

  Details about Towards unsupervised segmentation of the knee from MRI images based on image partition forests | BibTeX data for Towards unsupervised segmentation of the knee from MRI images based on image partition forests

• [8]

  Comparison of Evaluation Methods for Medical Image Segmentation

  Varduhi Yeghiazaryan and Irina Voiculescu

  2015.

  Details about Comparison of Evaluation Methods for Medical Image Segmentation | BibTeX data for Comparison of Evaluation Methods for Medical Image Segmentation

• [9]

  Fast Marching Method for Organ Identification in CT Images

  Varduhi Yeghiazaryan and Irina Voiculescu

  2014.

  Details about Fast Marching Method for Organ Identification in CT Images | BibTeX data for Fast Marching Method for Organ Identification in CT Images

• [10]

  Experiments on the Use of Fast Marching for Feature Identification

  Varduhi Yeghiazaryan and Irina Voiculescu

  2014.

  Best Abstract Award

  Details about Experiments on the Use of Fast Marching for Feature Identification | BibTeX data for Experiments on the Use of Fast Marching for Feature Identification | Download  (pdf) of Experiments on the Use of Fast Marching for Feature Identification

• [11]

  The Use of Image Partition Forests for Automatic Spine Identification in Abdominal CT Slices

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  October, 2009.

  Details about The Use of Image Partition Forests for Automatic Spine Identification in Abdominal CT Slices | BibTeX data for The Use of Image Partition Forests for Automatic Spine Identification in Abdominal CT Slices | Download (pdf) of The Use of Image Partition Forests for Automatic Spine Identification in Abdominal CT Slices

• [12]

  A Simpler Approach to Waterfall

  Chris Nicholls‚ Irina Voiculescu and Stuart Golodetz

  October, 2009.

  Details about A Simpler Approach to Waterfall | BibTeX data for A Simpler Approach to Waterfall | Download (pdf) of A Simpler Approach to Waterfall

• [13]

  The Use of Image Partition Forests in the Analysis of Abdominal CT Scans

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  October, 2008.

  Details about The Use of Image Partition Forests in the Analysis of Abdominal CT Scans | BibTeX data for The Use of Image Partition Forests in the Analysis of Abdominal CT Scans | Download (pdf) of The Use of Image Partition Forests in the Analysis of Abdominal CT Scans

• [14]

  3D Visualization of Abdominal CT Scans using Morphological Segmentation Techniques

  Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

  September, 2008.

  Oxford Biomedical Imaging Festival

  Details about 3D Visualization of Abdominal CT Scans using Morphological Segmentation Techniques | BibTeX data for 3D Visualization of Abdominal CT Scans using Morphological Segmentation Techniques | Download (pdf) of 3D Visualization of Abdominal CT Scans using Morphological Segmentation Techniques