Results 271 to 280 of about 1,980,897 (317)

Deep Learning for Cardiac Wall Motion Analysis: A Review of Methods, Challenges, and Clinical Applications. [PDF]

Ann Biomed Eng
Monfared M, Kakavand B, Taebi A.
europepmc   +1 more source

Bayesian Topological Convolutional Neural Nets

CoRR
Convolutional neural networks (CNNs) have been established as the main workhorse in image data processing; nonetheless, they require large amounts of data to train, often produce overconfident predictions, and frequently lack the ability to quantify the ...
Sarah Harkins Dayton, H. Everett, Ioannis D. Schizas, D. Boothe, Vasileios Maroulas   +4 more
semanticscholar   +3 more sources

Network Inversion of Convolutional Neural Nets

CoRR
Neural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes." This opacity raises concerns about their interpretability and ...
Pirzada Suhail, Amit Sethi
semanticscholar   +4 more sources

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Predictive and Discriminative Localization of IDH Genotype in High Grade Gliomas Using Deep Convolutional Neural Nets

IEEE International Symposium on Biomedical Imaging, 2019
Radiomics and state-of-art convolutional neural networks (CNNs) have demonstrated their usefulness for predicting genotype in gliomas from brain MRI images.
Madhura Ingalhalikar, Jitender Saini
exaly   +2 more sources

Empowering Convolutional Neural Nets with MetaSin Activation

Advances in Neural Information Processing Systems 36, 2023
T. Aydin, Guglielmo Camporese, André Gaillard, Farnood Salehi, Yuxuan Wang   +4 more
semanticscholar   +3 more sources

Optical Flow Estimation with Convolutional Neural Nets

Pattern Recognition and Image Analysis, 2021
Syed Tafseer Haider Shah, Xuezhi Xiang, Waqas Ahmed   +2 more
semanticscholar   +2 more sources

Predicting the severity and exploitability of vulnerability reports using convolutional neural nets

EnCyCriS@ICSE, 2022
Common Vulnerability and Exposure (CVE) reports published by Vulnerability Management Systems (VMSs) are used to evaluate the severity and exploitability of software vulnerabilities.
Ahmet Okutan, Mehdi Mirakhorli
semanticscholar   +1 more source

Convex Relaxations of Convolutional Neural Nets [PDF]

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
We propose convex relaxations for convolutional neural nets with one hidden layer where the output weights are fixed. For convex activation functions such as rectified linear units, the relaxations are convex second order cone programs which can be solved very efficiently.
Burak Bartan, Mert Pilanci
exaly   +4 more sources

Use of Convolutional Neural Nets and Transfer Learning for Prediction of Surgical Site Infection from Color Images

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021
One of the greatest concerns in post-operative care is the infection of the surgical wound. Such infections are a particular concern in global health and low-resource areas, where microbial antibiotic resistance is often common.
R. Fletcher, Gabriel Schneider, B. Hedt-Gauthier, T. Nkurunziza, B. Alayande, R. Riviello, F. Kateera   +6 more
semanticscholar   +1 more source