Các bài viết có thể truy cập công khai - Sotirios Tsaftaris ( Sotos Tsaftaris )Tìm hiểu thêm
Không có ở bất kỳ nơi nào: 3
All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging
C Boland, O Anderson, KA Goatman, J Hipwell, SA Tsaftaris, S Dahdouh
MICCAI Workshop on Fairness of AI in Medical Imaging, 67-77, 2024
Các cơ quan ủy nhiệm: UK Research & Innovation
Data-driven feature learning for myocardial registration and segmentation
I Oksuz, A Mukhopadhyay, R Dharmakumar, SA Tsaftaris
Diabetes and Cardiovascular Disease, 185-225, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health, Scientific and Technological Research …
Cardiovascular Magnetic Resonance Assessment of Myocardial Oxygenation
R Dharmakumar, SA Tsaftaris, HJ Yang, D Li
Cardiovascular Magnetic Resonance, 84-96. e3, 2019
Các cơ quan ủy nhiệm: US National Institutes of Health
Có tại một số nơi: 114
AI in medical imaging informatics: current challenges and future directions
AS Panayides, A Amini, ND Filipovic, A Sharma, SA Tsaftaris, A Young, ...
IEEE journal of biomedical and health informatics 24 (7), 1837-1857, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health, UK Engineering and Physical Sciences …
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council, European Commission
Finely-grained annotated datasets for image-based plant phenotyping
M Minervini, A Fischbach, H Scharr, SA Tsaftaris
Pattern recognition letters 81, 80-89, 2016
Các cơ quan ủy nhiệm: European Commission
Multimodal MR synthesis via modality-invariant latent representation
A Chartsias, T Joyce, MV Giuffrida, SA Tsaftaris
IEEE transactions on medical imaging 37 (3), 803-814, 2017
Các cơ quan ủy nhiệm: US National Institutes of Health, UK Engineering and Physical Sciences …
Leaf segmentation in plant phenotyping: a collation study
H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ...
Machine vision and applications 27, 585-606, 2016
Các cơ quan ủy nhiệm: US Department of Energy
Adversarial image synthesis for unpaired multi-modal cardiac data
A Chartsias, T Joyce, R Dharmakumar, SA Tsaftaris
Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017
Các cơ quan ủy nhiệm: US National Institutes of Health, UK Engineering and Physical Sciences …
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods, 1-18, 2024
Các cơ quan ủy nhiệm: Swiss National Science Foundation, US National Institutes of Health, Natural …
Disentangled representation learning in cardiac image analysis
A Chartsias, T Joyce, G Papanastasiou, S Semple, M Williams, DE Newby, ...
Medical image analysis 58, 101535, 2019
Các cơ quan ủy nhiệm: US National Institutes of Health, British Heart Foundation, UK Engineering …
Dominant β-catenin mutations cause intellectual disability with recognizable syndromic features
V Tucci, T Kleefstra, A Hardy, I Heise, S Maggi, MH Willemsen, H Hilton, ...
The Journal of clinical investigation 124 (4), 1468-1482, 2014
Các cơ quan ủy nhiệm: UK Medical Research Council, Netherlands Organisation for Health Research …
Arigan: Synthetic arabidopsis plants using generative adversarial network
M Valerio Giuffrida, H Scharr, SA Tsaftaris
Proceedings of the IEEE international conference on computer vision …, 2017
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
Phenotiki: An open software and hardware platform for affordable and easy image‐based phenotyping of rosette‐shaped plants
M Minervini, MV Giuffrida, P Perata, SA Tsaftaris
The Plant Journal 90 (1), 204-216, 2017
Các cơ quan ủy nhiệm: European Commission
Leveraging multiple datasets for deep leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE international conference on computer vision …, 2017
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
Causal machine learning for healthcare and precision medicine
P Sanchez, JP Voisey, T Xia, HI Watson, AQ O’Neil, SA Tsaftaris
Royal Society Open Science 9 (8), 220638, 2022
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
Simulation and synthesis in medical imaging
AF Frangi, SA Tsaftaris, JL Prince
IEEE transactions on medical imaging 37 (3), 673-679, 2018
Các cơ quan ủy nhiệm: US National Institutes of Health, UK Engineering and Physical Sciences …
Chronic manifestation of postreperfusion intramyocardial hemorrhage as regional iron deposition: a cardiovascular magnetic resonance study with ex vivo validation
A Kali, A Kumar, I Cokic, RLQ Tang, SA Tsaftaris, MG Friedrich, ...
Circulation: Cardiovascular Imaging 6 (2), 218-228, 2013
Các cơ quan ủy nhiệm: US National Institutes of Health
Learning to segment from scribbles using multi-scale adversarial attention gates
G Valvano, A Leo, SA Tsaftaris
IEEE Transactions on Medical Imaging 40 (8), 1990-2001, 2021
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis
C Wang, G Yang, G Papanastasiou, SA Tsaftaris, DE Newby, C Gray, ...
Information Fusion 67, 147-160, 2021
Các cơ quan ủy nhiệm: British Heart Foundation, UK Engineering and Physical Sciences Research …
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ