Irina Voiculescu

CoRR, 2024

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

[BibT_eX]

[DOI]

Julian Wyatt

CoRR, 2024

Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Runtime Freezing: Dynamic Class Loss for Multi-Organ 3d Segmentation.

[BibT_eX]

[DOI]

James Willoughby

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Super-Trustscore: Reliable Failure Detection for Automated Skin Lesion Diagnosis.

[BibT_eX]

[DOI]

Junayed Naushad

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Hairy Ground Truth Enhancement for Semantic Segmentation.

[BibT_eX]

[DOI]

Sophie Fischer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Federated Partially Supervised Learning With Limited Decentralized Medical Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels.

[BibT_eX]

[DOI]

Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Negational symmetry of quantum neural networks for binary pattern classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Towards robust partially supervised multi-structure medical image segmentation on small-scale data.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers.

[BibT_eX]

[DOI]

Jian-Qing Zheng

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Triple-View Feature Learning for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images.

[BibT_eX]

[DOI]

Michael Kampffmeyer

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.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parallel Partitioning: Path Reducing and Union-Find Based Watershed for the GPU.

[BibT_eX]

[DOI]

Yeva Gabrielyan

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Contour-Hugging Heatmaps for Landmark Detection.

[BibT_eX]

[DOI]

James McCouat

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.

[BibT_eX]

[DOI]

Jiayi Wang

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.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Bridging the Discipline Gap: Towards Improving Heritage and Computer Graphics Research Collaboration.

[BibT_eX]

[DOI]

Katharina Ulmschneider

Christopher Ramsey

Proceedings of the GCH 2021, 2021

Self-supervised Multi-task Representation Learning for Sequential Medical Images.

[BibT_eX]

[DOI]

Michael Kampffmeyer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Federated Contrastive Learning for Decentralized Unlabeled Medical Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

James McCouat

Siôn Glyn-Jones

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation.

[BibT_eX]

[DOI]

Mourad Gridach

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.

[BibT_eX]

[DOI]

Zhengdong Zhang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Quantum Unsupervised Domain Adaptation: Does Entanglement Help?

[BibT_eX]

[DOI]

Michael C. Kampffmeyer

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Simplifying TugGraph using zipping algorithms.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Zhengdong Zhang

CoRR, 2020

Deep Learning in Medical Ultrasound Image Segmentation: a Review.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation.

[BibT_eX]

[DOI]

Mourad Gridach

Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

2018

Path Reducing Watershed for the GPU.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Simpler editing of graph-based segmentation hierarchies using zipping algorithms.

[BibT_eX]

[DOI]

Stuart Golodetz

Stephen Cameron

Pattern Recognit., 2017

Boundary overlap for medical image segmentation evaluation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Interpolation of 3D slice volume data for 3D printing.

[BibT_eX]

[DOI]

Samuel Littley

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Avenues for the Use of Cellular Automata in Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Parameterized Cellular Automata in Image Segmentation.

[BibT_eX]

[DOI]

Anca Andreica

Laura Diosan

Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

Automated 3D renal segmentation based on image partitioning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Unsupervised segmentation of MRI knees using image partition forests.

[BibT_eX]

[DOI]

Marija Marcan