Browsing by Author "Dalmaz, Onat"
Now showing items 1-13 of 13
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Bottleneck sharing generative adversarial networks for unified multi-contrast MR image synthesis
(IEEE, 2022-08-29)Magnetic Resonance Imaging (MRI) is the favored modality in multi-modal medical imaging due to its safety and ability to acquire various different contrasts of the anatomy. Availability of multiple contrasts accumulates ... -
Detecting COVID-19 from respiratory sound recordings with transformers
(S P I E - International Society for Optical Engineering, 2022-04-04)Auscultation is an established technique in clinical assessment of symptoms for respiratory disorders. Auscultation is safe and inexpensive, but requires expertise to diagnose a disease using a stethoscope during hospital ... -
edaGAN: Encoder-Decoder Attention Generative Adversarial Networks for multi-contrast MR image synthesis
(Institute of Electrical and Electronics Engineers, 2022-05-16)Magnetic resonance imaging (MRI) is the preferred modality among radiologists in the clinic due to its superior depiction of tissue contrast. Its ability to capture different contrasts within an exam session allows it to ... -
Improving image synthesis quality in multi-contrast MRI using transfer learning via autoencoders
(IEEE, 2022-08-29)The capacity of magnetic resonance imaging (MRI) to capture several contrasts within a session enables it to obtain increased diagnostic information. However, such multi-contrast MRI tests take a long time to scan, resulting ... -
Improving the performance of Batch-Constrained reinforcement learning in continuous action domains via generative adversarial networks
(IEEE, 2022-08-29)The Batch-Constrained Q-learning algorithm is shown to overcome the extrapolation error and enable deep reinforcement learning agents to learn from a previously collected fixed batch of transitions. However, due to conditional ... -
An intrinsic motivation based artificial goal generation in on-policy continuous control
(IEEE, 2022-08-29)This work adapts the existing theories on animal motivational systems into the reinforcement learning (RL) paradigm to constitute a directed exploration strategy in on-policy continuous control. We introduce a novel and ... -
Körfez Savaşı Türkiye dış politikası
(Bilkent University, 2018)Saddam yönetimindeki Irak, 25 Ağustos 1990’da Kuveyt’e saldırmış ve kısa sürede ülkede hakimiyet kurmuştur. Başta ABD olmak üzere küresel ve bölgesel hemen tüm güçler, çeşitli stratejik ve ekonomik sebeplerle işgale sert ... -
Multi-contrast MRI synthesis with channel-exchanging-network
(IEEE, 2022-08-29)Magnetic resonance imaging (MRI) is used in many diagnostic applications as it has a high soft-tissue contrast and is a non-invasive medical imaging method. MR signal levels differs according to the parameters T1, T2 and ... -
ResViT: residual vision transformers for multimodal medical ımage synthesis
(Institute of Electrical and Electronics Engineers Inc., 2022-04-18)Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed to perform local ... -
Semi-supervised learning of MRI synthesis without fully-sampled ground truths
(IEEE, 2022-08-16)Learning-based translation between MRI contrasts involves supervised deep models trained using high-quality source- and target-contrast images derived from fully-sampled acquisitions, which might be difficult to collect ... -
Skip connections for medical image synthesis with generative adversarial networks
(IEEE, 2022-08-29)Magnetic Resonance Imaging (MRI) is an imaging technique used to produce detailed anatomical images. Acquiring multiple contrast MRI images requires long scan times forcing the patient to remain still. Scan times can be ... -
A specificity-preserving generative model for federated MRI translation
(Springer Cham, 2022-10-07)MRI translation models learn a mapping from an acquired source contrast to an unavailable target contrast. Collaboration between institutes is essential to train translation models that can generalize across diverse datasets. ... -
Unified intrinsically motivated exploration for off-policy learning in continuous action spaces
(IEEE, 2022-08-29)Exploration is maintained in continuous control using undirected methods, in which random noise perturbs the network parameters or selected actions. Exploration that is intrinsically driven is a good alternative to undirected ...
