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Giacomo Tarroni

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Neural Networks : the Official Journal of the International Neural Network Society|May 25, 2021
Anti-transfer learning for task invariance in convolutional neural networks for speech processingEric Guizzo, Tillman Weyde, Giacomo Tarroni
Medical & Biological Engineering & Computing|March 28, 2012
Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopyGiacomo Tarroni, Luca Tersi, Cristiana Corsi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Fully-automated identification and segmentation of aortic lumen from fetal ultrasound imagesGiacomo Tarroni, Silvia Visentin, Erich Cosmi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A supervised learning approach for the robust detection of heart beat in plethysmographic dataEnrico Grisan, Giorgia Cantisani, Giacomo Tarroni, et al.
Frontiers in Cardiovascular Medicine|March 21, 2020
Deep Learning for Cardiac Image Segmentation: A ReviewChen Chen, Chen Qin, Huaqi Qiu, et al.
Scientific Reports|February 14, 2020
Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK BiobankGiacomo Tarroni, Wenjia Bai, Ozan Oktay, et al.
Medical Image Analysis|September 12, 2022
Enhancing MR image segmentation with realistic adversarial data augmentationChen Chen, Chen Qin, Cheng Ouyang, et al.
Journal of Clinical Lipidology|April 9, 2016
Large high-density lipoprotein particle number is independently associated with microvascular function in patients with well-controlled low-density lipoprotein concentration: A vasodilator stress magnetic resonance perfusion studyAkhil Narang, Victor Mor-Avi, Nicole M Bhave, et al.
Insights Into Imaging|February 3, 2023
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot studyRiaan van de Venter, Emily Skelton, Jacqueline Matthew, et al.
Radiology|August 16, 2012
Myocardial perfusion: near-automated evaluation from contrast-enhanced MR images obtained at rest and during vasodilator stressGiacomo Tarroni, Cristiana Corsi, Patrick F Antkowiak, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|May 25, 2021
Anti-transfer learning for task invariance in convolutional neural networks for speech processingEric Guizzo, Tillman Weyde, Giacomo Tarroni
Medical & Biological Engineering & Computing|March 28, 2012
Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopyGiacomo Tarroni, Luca Tersi, Cristiana Corsi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Fully-automated identification and segmentation of aortic lumen from fetal ultrasound imagesGiacomo Tarroni, Silvia Visentin, Erich Cosmi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A supervised learning approach for the robust detection of heart beat in plethysmographic dataEnrico Grisan, Giorgia Cantisani, Giacomo Tarroni, et al.
Frontiers in Cardiovascular Medicine|March 21, 2020
Deep Learning for Cardiac Image Segmentation: A ReviewChen Chen, Chen Qin, Huaqi Qiu, et al.
Scientific Reports|February 14, 2020
Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK BiobankGiacomo Tarroni, Wenjia Bai, Ozan Oktay, et al.
Medical Image Analysis|September 12, 2022
Enhancing MR image segmentation with realistic adversarial data augmentationChen Chen, Chen Qin, Cheng Ouyang, et al.
Journal of Clinical Lipidology|April 9, 2016
Large high-density lipoprotein particle number is independently associated with microvascular function in patients with well-controlled low-density lipoprotein concentration: A vasodilator stress magnetic resonance perfusion studyAkhil Narang, Victor Mor-Avi, Nicole M Bhave, et al.
Insights Into Imaging|February 3, 2023
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot studyRiaan van de Venter, Emily Skelton, Jacqueline Matthew, et al.
Radiology|August 16, 2012
Myocardial perfusion: near-automated evaluation from contrast-enhanced MR images obtained at rest and during vasodilator stressGiacomo Tarroni, Cristiana Corsi, Patrick F Antkowiak, et al.
Pageof 2