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Claudia Blaiotta
Claudia Blaiotta
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
Spinal cord grey matter segmentation challenge
F Prados, J Ashburner, C Blaiotta, T Brosch, J Carballido-Gamio, ...
Neuroimage 152, 312-329, 2017
1592017
Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction
C Blaiotta, P Freund, MJ Cardoso, J Ashburner
NeuroImage 166, 117-134, 2018
402018
Variational inference for medical image segmentation
C Blaiotta, MJ Cardoso, J Ashburner
Computer Vision and Image Understanding 151, 14-28, 2016
362016
Learning generative socially aware models of pedestrian motion
C Blaiotta
IEEE Robotics and Automation Letters 4 (4), 3433-3440, 2019
242019
Relationship between brainstem neurodegeneration and clinical impairment in traumatic spinal cord injury
P Grabher, C Blaiotta, J Ashburner, P Freund
NeuroImage: Clinical 15, 494-501, 2017
172017
Microstructural plasticity in nociceptive pathways after spinal cord injury
SP Kyathanahally, M Azzarito, J Rosner, VD Calhoun, C Blaiotta, ...
Journal of Neurology, Neurosurgery & Psychiatry 92 (8), 863-871, 2021
152021
Simultaneous voxel‐wise analysis of brain and spinal cord morphometry and microstructure within the SPM framework
M Azzarito, SP Kyathanahally, Y Balbastre, M Seif, C Blaiotta, ...
Human brain mapping 42 (1), 220-232, 2021
152021
A probabilistic framework to learn average shaped tissue templates and its application to spinal cord image segmentation
C Blaiotta, P Freund, A Curt, J Cardoso, J Ashburner
Proceedings of the 24th ISMRM Annual Meeting, 2016
112016
Overcoming shortcut learning in a target domain by generalizing basic visual factors from a source domain
P Saranrittichai, CK Mummadi, C Blaiotta, M Munoz, V Fischer
European Conference on Computer Vision, 294-309, 2022
82022
Generative diffeomorphic atlas construction from brain and spinal cord MRI data
C Blaiotta, P Freund, MJ Cardoso, J Ashburner
arXiv preprint arXiv:1707.01342, 2017
62017
Multi-attribute open set recognition
P Saranrittichai, CK Mummadi, C Blaiotta, M Munoz, V Fischer
DAGM German Conference on Pattern Recognition, 101-115, 2022
42022
Making time-series predictions using a trained decoder model
C Blaiotta, S Ziesche
US Patent App. 17/348,367, 2021
32021
Data augmentation for the training of image classifiers
C Blaiotta
US Patent App. 17/742,778, 2022
12022
METHOD FOR DETERMINING AN ARCHITECTURE OF A MULTITASKING MODEL
C Blaiotta, L Schott
US Patent App. 18/663,720, 2024
2024
Training neural networks with a lesser requirement for labelled training data
P Saranrittichai, AMM Delgado, CK Mummadi, C Blaiotta, V Fischer
US Patent App. 18/309,335, 2023
2023
Movement prediction of pedestrians useful for autonomous driving
C Blaiotta
US Patent 11,643,106, 2023
2023
Image classifier with lesser requirement for labelled training data
P Saranrittichai, AMM Delgado, CK Mummadi, C Blaiotta, V Fischer
US Patent App. 17/861,440, 2023
2023
Method for determining an output signal by means of a neural network
C Blaiotta, P Katiyar
US Patent App. 17/652,132, 2022
2022
Bayesian generative learning of brain and spinal cord templates from neuroimaging datasets
C Blaiotta
UCL (University College London), 2017
2017
King’s Research Portal
F Prados, J Ashburner, C Blaiotta, T Brosch, J Carballido-Gamio, ...
NeuroImage 152, 312-329, 2017
2017
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