( en | de | ru )

 

Disambiguation

Author of the publication

copydeleteadd this publication to your clipboard
Entropy-based gaze planning.

, and . Image Vis. Comput., 19 (11): 779-786 (2001)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Benoit Arbelot

Elena Arbelo Jorge

Catalina Arbeláez-Bolaños

Michael Tal

Oded Tal

 

Other publications of authors with the same name

CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images., , and . ISBI, page 127-130. IEEE, (2020)Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI., , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 387-406. PMLR, (2022)Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery., , and . IPCAI, volume 7330 of Lecture Notes in Computer Science, page 125-134. Springer, (2012)Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis., , , , , and . MLMI, volume 6357 of Lecture Notes in Computer Science, page 165-173. Springer, (2010)Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images., , , , , , , , , and 9 other author(s). Medical Image Anal., (2016)Task dependent deep LDA pruning of neural networks., , and . Comput. Vis. Image Underst., (2021)Entropy-based gaze planning., and . Image Vis. Comput., 19 (11): 779-786 (2001)Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 483-492. PMLR, (2019)Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI., , and . BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 108-118. Springer, (2019)IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 514-526. Springer, (2015)