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Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging
[article]
2022
arXiv
pre-print
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We propose using invertible neural networks (INNs) to alleviate memory pressure. We demonstrate INNs can image 3D photoacoustic volumes in the setting of limited-view, noisy, and subsampled data. ...
Photoacoustic imaging (PAI) can image high-resolution structures of clinical interest such as vascularity in cancerous tumor monitoring. ...
Thus, we demonstrated that INNs provide an accurate, memory efficient method that enables fast 3D imaging for PAI. ...
arXiv:2204.11850v1
fatcat:glni23525zfppjzsw6liajwjyi
Table of contents
2020
IEEE Transactions on Circuits and Systems - II - Express Briefs
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Malaguti 926 A Memristor-Based Spiking Neural Network With High Scalability and Learning Efficiency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Je 876 A Photoacoustic-Surface-Acoustic-Wave Sensor for Ring-Stage Malaria Parasite Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tcsii.2020.2985271
fatcat:w2zxxstdojc4po7sc4446bpjue
2021 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 15
2021
IEEE Transactions on Biomedical Circuits and Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
Lu, S., +, TBCAS April 2021 190-198 Circuit simulation Memristor-Based Neural Network Circuit of Emotion Congruent Memory With Mental Fatigue and Emotion Inhibition. ...
Alexandrou, G., +, TBCAS June 2021 380-389 Memristor-Based Neural Network Circuit of Emotion Congruent Memory Light Absorption Measurement With a CMOS Biochip for Quantitative With Mental Fatigue and Emotion ...
doi:10.1109/tbcas.2022.3153145
fatcat:kzw23qo6vbf7jc4r2ek3knpgea
2021 Index IEEE Transactions on Computational Imaging Vol. 7
2021
IEEE Transactions on Computational Imaging
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TCI 2021 1176-1188 Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. ...
., +, TCI 2021 409-421 Convolutional neural networks Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. ...
doi:10.1109/tci.2022.3151176
fatcat:slyirmc7c5egfjjjyfswassh24
Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review
2020
Optics
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Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. ...
Here, we review various signal and image processing techniques that have been developed/implemented in PAI. Our goal is to highlight the importance of image computing in photoacoustic imaging. ...
(iii) and (iv) B-mode multi-level waveletconvolutional neural network (MWCNN) model (output) photoacoustic image for 40 and 80 µJ/pulse. ...
doi:10.3390/opt2010001
fatcat:wk2npy5tmbbvfi6jbxbtbmzpny
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction
[article]
2018
arXiv
pre-print
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We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. ...
We show feasibility of the method for human in-vivo measurements in a limited-view geometry. ...
FL is supported from EPSRC project EP/K009745/1 and the Netherlands Organization for Scientific Research (NWO), project nr. 613.009.106/2383. ...
arXiv:1807.03191v1
fatcat:zwmbkpcsmrgvpddjfo3pabk6la
Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction
[chapter]
2018
Lecture Notes in Computer Science
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We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on kspace methods for photoacoustic tomography. ...
We show feasibility of the method for human in-vivo measurements in a limited-view geometry. ...
FL is supported from EPSRC project EP/K009745/1 and the Netherlands Organization for Scientific Research (NWO), project nr. 613.009.106/2383. ...
doi:10.1007/978-3-030-00129-2_12
fatcat:vvtv5axmobfttbwhsfwqpziuvm
A Memory-Efficient Dynamic Image Reconstruction Method using Neural Fields
[article]
2022
arXiv
pre-print
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Computational and memory requirements are particularly burdensome for three-dimensional dynamic imaging applications requiring high resolution in both space and time. ...
Neural fields are a particular class of neural networks that represent the dynamic object as a continuous function of space and time, thus avoiding the burden of storing a full resolution image at each ...
Furthermore, neural fields allow for memory-efficient representation of the object [11] and provide implicit regularization due to the class of functions that can be approximated [12] . ...
arXiv:2205.05585v1
fatcat:fse4yvhd6zaypcqnddfk7xsvb4
Table of Contents [EDICS]
2021
IEEE Transactions on Computational Imaging
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and Phase Contrast Image Fusion Via Detail Preserving Cross Network . . . . . . . . . . . . . . . . . . . .Chen Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting . . . . . . . ...
Guillemot Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tci.2022.3143315
fatcat:ul2dbyjijvh7ha44zeuftxanfi
Table of Contents
2021
IEEE Transactions on Computational Imaging
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Tringe Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Guillemot Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tci.2022.3143313
fatcat:blsdlxgrezgdtguxy4ekdzqfci
Importance of Signal and Image Processing in Photoacoustic Imaging
[article]
2020
arXiv
pre-print
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Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. ...
Here, we review various signal and image processing techniques that have been developed/implemented in PAI. Our goal is to highlight the importance of image computing in photoacoustic imaging. ...
Evaluation of the neural networks is non-iterative process and it takes similar numerical effort as a traditional back projection algorithm for photoacoustic imaging. ...
arXiv:2012.07955v1
fatcat:urxlpbd2grfnjibau4y2aaz7vm
The M2DC Project: Modular Microserver DataCentre
2016
2016 Euromicro Conference on Digital System Design (DSD)
Preserved Fulltext
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This paper provides an overview of the different topics FPGAs have been used for in the last 15 years of research and why they have been chosen over other processing units like e.g. CPUs. ...
Network port scan detection
2011
[605]
Image processing
2D discrete cosine transform for image compression
2011
[606]
Neuro-computing
Auto-associative memory based on a spiking neural network ...
multilayer cellular neural network for 3D nonlinear spatio-temporal dynamics
2003
[173]
Mathematics
Two's complement serial / parallel multiplication
2003
[174]
Image processing
Color space conversion ...
doi:10.1109/dsd.2016.76
dblp:conf/dsd/CecowskiAOKBCKP16
fatcat:bu4nbkqaejebjafrotibui6mkq
Brain Imaging and Aging
2020
Acta Scientific Neurology
Preserved Fulltext
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Many spectroscopic methods are trying to overcome the difficult access to the brain: Photoacoustic microscopy, Confocal microscopy, Two-photon microscopy, Optical coherence tomography, Scanning Laser Acoustic ...
Microscopy, Acoustic microscopy, Ultrasonography, positron tomography, fluorescence methods, photo caustic microscopy and multy (two) photon imaging spectroscopy. ...
Imaging is enabling researchers to identify neural networks involved in cognitive processes; understand disease pathways; recognize and diagnose diseases early, when they are most effectively treated; ...
doi:10.31080/asne.2020.03.0209
fatcat:isjeic5nzfgs3pfdmva5v7hu7a
2020 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 67
2020
IEEE Transactions on Circuits and Systems - II - Express Briefs
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., A Novel Dynamic Detection for Flash Memory; 600-604 Issakov, V., see Aguilar, E., TCSII May 2020 906-910 Iu, H.H., see Lai, Q., 1129-1133 Iu, H.H., see Xu, G., TCSII Dec. 2020 3452-3456 Iu, H.H.C ...
3496 Qin, W., see Lu, Q., 2983-2987 Qin, Y., see Xu, Y., TCSII Nov. 2020 2367-2371 Qin, Z., Qiu, Y., Sun, H., Lu, Z., Wang, Z., Shen, Q., and Pan, H., A Novel Approximation Methodology and Its Efficient ...
Venkatesh, A., +, TCSII Aug. 2020 1394-1398 A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment. ...
doi:10.1109/tcsii.2020.3047305
fatcat:ifjzekeyczfrbp5b7wrzandm7e
2021 Index IEEE Sensors Letters Vol. 5
2021
IEEE Sensors Letters
Preserved Fulltext
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, LSENS Sept. 2021 3501104 Neural network architecture Neural Networks for Indoor Person Tracking With Infrared Sensors. ...
., +, LSENS Dec. 2021 5501504 Optical imaging A High Sensitivity Transparent Ultrasound Transducer Based on PMN-PT for Ultrasound and Photoacoustic Imaging. ...
doi:10.1109/lsens.2021.3137726
fatcat:nrqslmk43bhxlpb7bcy6vzfcfe
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