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Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets.

R. Lozoya, J. Margeta, L. Folgoc, Y. Komatsu, B. Berte, J. Relan, H. Cochet, M. Haïssaguerre, P. Jaïs, N. Ayache, and M. Sermesant. MCV, volume 8848 of Lecture Notes in Computer Science, page 148-159. Springer, (2014)

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Ján Poliak

Validierung von satellitenbasierten EisenbahnortungssystemenJ. Poliak. TU Braunschweig, (2009)

Rolf Alexander Jánosi

Ildikó Marianne Jánossy

Géza János

Ludwig Jánossy

Other publications of authors with the same name

Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection.P. Diez, J. Sundgaard, F. Patou, J. Margeta, and R. Paulsen. MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 519-528. Springer, (2021)Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography.P. Diez, K. Sørensen, J. Sundgaard, K. Diab, J. Margeta, F. Patou, and R. Paulsen. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 697-706. Springer, (2022)Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data.J. Margeta, E. Geremia, A. Criminisi, and N. Ayache. STACOM, volume 7085 of Lecture Notes in Computer Science, page 109-119. Springer, (2011)Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques).J. Margeta. Mines ParisTech, France, (2015)Deep Reinforcement Learning for Detection of Abnormal Anatomies.P. Diez, K. Juhl, J. Sundgaard, H. Diab, J. Margeta, F. Patou, and R. Paulsen. NLDL, Septentrio Academic Publishing, (2022)Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition.J. Margeta, A. Criminisi, R. Lozoya, D. Lee, and N. Ayache. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 5 (5): 339-349 (2017)Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.C. Tobon-Gomez, A. Geers, J. Peters, J. Weese, K. Pinto, R. Karim, M. Ammar, A. Daoudi, J. Margeta, Z. Sandoval and 14 other author(s). IEEE Trans. Medical Imaging, 34 (7): 1460-1473 (2015)Recognizing Cardiac Magnetic Resonance Acquisition Planes.J. Margeta, A. Criminisi, D. Lee, and N. Ayache. MIUA, page 125-130. BMVA, (2014)A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images.A. Suinesiaputra, B. Cowan, A. Al-Agamy, M. Elattar, N. Ayache, A. Fahmy, A. Khalifa, P. Medrano-Gracia, M. Jolly, A. Kadish and 4 other author(s). Medical Image Anal., 18 (1): 50-62 (2014)Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation.P. Diez, J. Margeta, K. Diab, F. Patou, and R. Paulsen. MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 652-662. Springer, (2023)

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Disambiguation of "Margeta, Ján"

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Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets.

Please choose a person to relate this publication to

Ján Poliak

Rolf Alexander Jánosi

Ildikó Marianne Jánossy

Géza János

Ludwig Jánossy

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Margeta, Ján"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets.

Please choose a person to relate this publication to

Ján Poliak

Rolf Alexander Jánosi

Ildikó Marianne Jánossy

Géza János

Ludwig Jánossy

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets.