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Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging [article]

Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
2022 arXiv   pre-print
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  
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  
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  
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

Rayyan Manwar, Mohsin Zafar, Qiuyun Xu
2020 Optics  
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]

Andreas Hauptmann, Ben Cox, Felix Lucka, Nam Huynh, Marta Betcke, Paul Beard, Simon Arridge
2018 arXiv   pre-print
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]

Andreas Hauptmann, Ben Cox, Felix Lucka, Nam Huynh, Marta Betcke, Paul Beard, Simon Arridge
2018 Lecture Notes in Computer Science  
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]

Luke Lozenski, Mark A. Anastasio, Umberto Villa
2022 arXiv   pre-print
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  
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  
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]

Mohsin Zafar, Qiuyun Xu, Rayyan Manwar
2020 arXiv   pre-print
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

Mariano Cecowski, Giovanni Agosta, Ariel Oleksiak, Michal Kierzynka, Micha vor dem Berge, Wolfgang Christmann, Stefan Krupop, Mario Porrmann, Jens Hagemeyer, Rene Griessl, Meysam Peykanu, Lennart Tigges (+13 others)
2016 2016 Euromicro Conference on Digital System Design (DSD)  
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

Shimon Shatzmiller, Galina M Zat, Inbal Lapidot
2020 Acta Scientific Neurology  
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  
., 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  
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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