Deep learning in cardiology
P Bizopoulos, D Koutsouris - IEEE reviews in biomedical …, 2018 - ieeexplore.ieee.org
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
This paper presents a method for automatic breast pectoral muscle segmentation in
mediolateral oblique mammograms using a Convolutional Neural Network (CNN) inspired …
mediolateral oblique mammograms using a Convolutional Neural Network (CNN) inspired …
[PDF][PDF] Role of deep learning in computed tomography
Computed tomography has played an instrumental role in the understanding of the
pathophysiology of atherosclerosis in coronary artery disease. It enables visualization of the …
pathophysiology of atherosclerosis in coronary artery disease. It enables visualization of the …
3D convolutional neural network for abdominal aortic aneurysm segmentation
K López-Linares, I García, A García-Familiar… - arxiv preprint arxiv …, 2019 - arxiv.org
An abdominal aortic aneurysm (AAA) is a focal dilation of the aorta that, if not treated, tends
to grow and may rupture. A significant unmet need in the assessment of AAA disease, for the …
to grow and may rupture. A significant unmet need in the assessment of AAA disease, for the …
Evaluation of U-Net based architectures for automatic aortic dissection segmentation
B Feiger, E Lorenzana-Saldivar, C Cooke… - ACM Transactions on …, 2021 - dl.acm.org
Segmentation and reconstruction of arteries is important for a variety of medical and
engineering fields, such as surgical planning and physiological modeling. However, manual …
engineering fields, such as surgical planning and physiological modeling. However, manual …
Deep Learning for Accurate Segmentation of Venous Thrombus from Black‐Blood Magnetic Resonance Images: A Multicenter Study
C Sun, X **ong, T Zhang, X Guan… - BioMed research …, 2021 - Wiley Online Library
Objective. Deep vein thrombosis (DVT) is the third‐largest cardiovascular disease, and
accurate segmentation of venous thrombus from the black‐blood magnetic resonance (MR) …
accurate segmentation of venous thrombus from the black‐blood magnetic resonance (MR) …
Abdominal aortic aneurysm segmentation with a small number of training subjects
Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for customized stent-
graft design in Fenestrated Endovascular Aortic Repair (FEVAR). Traditional segmentation …
graft design in Fenestrated Endovascular Aortic Repair (FEVAR). Traditional segmentation …
Sparsely Activated Networks: A new method for decomposing and compressing data
P Bizopoulos - arxiv preprint arxiv:1911.00400, 2019 - arxiv.org
Recent literature on unsupervised learning focused on designing structural priors with the
aim of learning meaningful features, but without considering the description length of the …
aim of learning meaningful features, but without considering the description length of the …
[PDF][PDF] Δίκτυα Αραιής Ενεργοποίησης: Μια νέα μέθοδος αποσύνθεσης και συμπίεσης δεδομένων
Π Μπιζόπουλος - 2020 - dspace.lib.ntua.gr
Περίληψη Η πρόσφατη βιβλιογραφία σχετικά ε τη η-επιβλεπώ ενη άθηση επικεντρώθηκε στο
σχεδιασ ό δο ών ε στόχο την άθηση χαρακτηριστικών. Αυτό ό ως γινόταν χωρίς να ληφθεί …
σχεδιασ ό δο ών ε στόχο την άθηση χαρακτηριστικών. Αυτό ό ως γινόταν χωρίς να ληφθεί …
[PDF][PDF] 畳み込みニューラルネットワークと解剖学的知識を用いた腹部造影 CT 画像からの腎動脈枝の自動抽出
小野真理子， オノマリコ - 2018 - naist.repo.nii.ac.jp
修士論文 畳み込みニューラルネットワークと 解剖学的知識を用いた 腹部造影 CT 画像からの腎
Page 1 NAIST-IS-MT1651030 修士論文 畳み込みニューラルネットワークと 解剖学的知識を用いた …
Page 1 NAIST-IS-MT1651030 修士論文 畳み込みニューラルネットワークと 解剖学的知識を用いた …