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International CSI computer Conference, CSICC

作者： Mohammadreza Gholami Mahshad Faramarzi Nima Alipour Mansooreh Pakravan Department of Electrical and Computer Engineering Tarbiat Modares Univeristy Tehran Iran Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy

ISBN: (数字)9798331523114

ISBN: (纸本)9798331523121

This study introduces a novel pipeline for feature extraction from Functional Magnetic Resonance Imaging (fMRI) data, focusing on age-related trends in node embeddings derived from causal brain graphs during naturalistic stimuli (movie observation). Directed Acyclic Graphs (DAGs) constructed using the Non-combinatorial Optimization via Trace Exponential and Augmented Lagrangian for Structure learning (NOTEARS) algorithm modeled causal relationships among 25 brain regions of interest (ROIs). Graph embeddings were generated using the Deep Walk algorithm to capture low-dimensional representations of graph structures. Unlike previous studies analyzing functional brain graphs with traditional graph metrics (e.g., degree, centrality, clustering coefficient), our approach employs modern techniques to uncover patterns in effective brain graphs. The results revealed decreasing feature similarity with age in regions associated with Theory of Mind (ToM), Pain, Face and Place Processing, reflecting age-related neural changes. Conversely, the Left Retrosplenial Cortex (IRSC) demonstrated increasing similarity, suggesting enhanced maturation and efficiency in spatial memory functions. Regions like the Left Fusiform Face Area (IFF A) and Right Transverse Occipital Sulcus (rTOS) showed no significant trends, emphasizing the role of functional relevance in brain responses to naturalistic stimuli. The novelty of our research lies in analyzing localized patterns in causal brain graphs using embedding techniques like Deep Walk, moving beyond traditional metrics. For the first time, features were extracted from fMRI data to study node-level similarities across age groups during naturalistic stimuli. By combining effective graph construction with localized embedding methods, this pipeline advances age-related brain connectivity research, demonstrating the consistent impact of movie stimuli on brain dynamics and the potential of graph-based methods to reveal age-related neural connectivit

关键词： Measurement Pain Pipelines Clustering algorithms Functional magnetic resonance imaging Feature extraction Motion pictures Market research Data mining Faces

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SABiT-MNet: Scale-Adaptive Autoencoder with BiT-M Model for Identifying AMD Grades

SABiT-MNet: Scale-Adaptive Autoencoder with BiT-M Model for ...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Niveen Nasr El-Den Mohamed Elsharkawy Mohammed Ghazal Ali Mahmoud Harpal Sandhu Hani Mahdi Ayman El-Baz Department of Computer and System Engineering Ain Shams University Egypt Department of Bioengineering University of Louisville Louisville KY USA Electrical Computer and Biomedical Engineering Department Abu Dhabi University Abu Dhabi UAE

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Accurate early diagnosis is crucial in addressing Age-related Macular Degeneration (AMD), a chronic retinal disease that is a leading cause of blindness among the elderly. Medical imaging, particularly fundus imaging, is essential in facilitating timely detection and intervention. Due to the variability in image sizes within our dataset, this paper introduces the SABiT-MNet model, which effectively discriminates between healthy retinas, dry AMD, and wet AMD. The model integrates a novel scale-adaptive (SA) approach by combining an autoencoder with Big Transfer (BiT) as its backbone. Unlike traditional resizing methods, which often result in the loss of critical diagnostic information, the SA model dynamically adjusts to varying image sizes, preserving key retinal features essential for accurate diagnosis. The primary aim of this architecture is to retain crucial details in fundus images to ensure precise classification. In this study, 648 subjects were recruited through the Comparisons of AMD Treatments Trials study group, sponsored by the University of Pennsylvania. Experimental results demonstrate that the proposed SABiT-MNet model outperforms state-of-the-art approaches, including transformer-based models, achieving superior diagnostic accuracy. The model recorded performance metrics of 94% accuracy, 97% sensitivity, and 93.94% specificity. To further validate the robustness of the system, we tested it on the public ODiR dataset, where it achieved similarly promising results, confirming the effectiveness of our approach.

关键词： Macular degeneration Accuracy Sensitivity Autoencoders Signal processing Retina Transformers Robustness Speech processing Older adults

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Physics and artificial intelligence:illuminating the future of optics and photonics

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Advanced Photonics 2024年第5期6卷 3-8页

作者： Md Sadman Sakib Rahman Aydogan Ozcan University of California Electrical and Computer Engineering DepartmentLos AngelesCaliforniaUnited States University of California Bioengineering DepartmentLos AngelesCaliforniaUnited States University of California California NanoSystems InstituteLos AngelesCaliforniaUnited States

1 Introduction The artificial intelligence(AI)revolution is upon us,transforming not just our daily lives with smart assistants,personalized recommendations,and autonomous systems but also profoundly altering the landscape of scientific research and knowledge *** revolution is characterized by the integration of AI into every domain of human activity,from healthcare and finance to education and *** transformative effects are also being felt in the world of scientific research,e.g.,in the physical sciences,where AI is not just assisting in data analysis^(1) but is also driving new discoveries^(2) and pushing the boundaries of knowledge and applied sciences.

关键词： optics artificial finance

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Time-lapse Image Classification through a Diffractive Optical Network

Time-lapse Image Classification through a Diffractive Optica...

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Rahman, Md Sadman Sakib Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States

We introduce a time-lapse optical image classification scheme, which substantially enhances the inference and generalization of a diffractive optical network on the classification of complex input objects. © Opti... 详细信息

ISBN: (纸本)9781957171296

关键词： Laser systems Light propagation Neural networks Optical imaging Optical networks Optical signals

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Massively-Parallel Broadband Diffractive Processor for All-Optical Computation of a Large Set of Linear Transformations

Massively-Parallel Broadband Diffractive Processor for All-O...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Li, Jingxi Bai, Bijie Luo, Yi Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States

We design a massively-parallel broadband diffractive processor for all-optical computation of a large number (NW > 180) of arbitrarily-selected, complex-valued linear transformations by encoding the input/output of... 详细信息

ISBN: (纸本)9781957171258

关键词： Linear transformations

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Unidirectional Imaging Using Diffractive Materials

Unidirectional Imaging Using Diffractive Materials

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Li, Jingxi Gan, Tianyi Zhao, Yifan Bai, Bijie Shen, Che-Yung Sun, Songyu Jarrahi, Mona Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States

We present deep learning-optimized diffractive materials forming a broadband and polarization-insensitive unidirectional imager that permits imaging along only one direction while blocking the light transmission in th... 详细信息

ISBN: (纸本)9781957171296

关键词： Circular polarization Diffraction efficiency Imaging systems Light transmission Nonlinear effects Optical imaging

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All-optical phase recovery: Quantitative phase imaging using diffractive optical networks

All-optical phase recovery: Quantitative phase imaging using...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Mengu, Deniz Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States

ISBN: (纸本)9781957171258

We demonstrate diffractive networks that perform all-optical phase recovery and synthesize the quantitative phase images of input objects by converting the input phase information into quantitative intensity variations at their *** into quantitative intensity variations at their output. © Optica Publishing Group 2023 © 2023 The Author(s)

关键词： computer system recovery

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Single-Shot Multispectral Quantitative Phase Imaging (QPI) using a Diffractive Optical Processor

Single-Shot Multispectral Quantitative Phase Imaging (QPI) u...

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Shen, Che-Yung Li, Jingxi Mengu, Deniz Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States

We present a diffractive optical processor that can transform input object phase profiles at multiple wavelengths into spatial intensity variations at its output, enabling single-shot multispectral quantitative phase ... 详细信息

ISBN: (纸本)9781957171296

关键词： Bandpass filters Biomedical imaging Imaging systems Optical signal processing devices Phase imaging Transforms

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Spectral DiffuserScope - Computational Snapshot Hyperspectral Imager for Microscopy

Spectral DiffuserScope - Computational Snapshot Hyperspectra...

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2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Aggarwal, Neerja Markley, Eric Raniwala, Yashovardhan Houck, William D. Lee, Kyung Chul Bae, Junghyun Baek, Nakkyu Park, Wook Lee, Seung Ah Waller, Laura Department of Electrical Engineering and Computer Sciences University of California Berkeley United States UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley United States VIAVI Solutions Inc Santa Rosa United States School of Electrical and Electronic Engineering Yonsei University Seoul Korea Republic of

We introduce a computational snapshot hyperspectral imager for benchtop microscopy. The compact device uses a diffuser and spectral filter array to multiplex spatio-spectral information into a 2D measurement, then rec... 详细信息

ISBN: (纸本)9781957171289

关键词： Blue light emitting diodes Diffusers Fluorescence microscopy Image sensors Spatial resolution Ultraviolet light emitting diodes

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Super-resolution image projection using a diffractive optical decoder

Super-resolution image projection using a diffractive optica...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Isil, Çağatay Mengu, Deniz Zhao, Yifan Tabassum, Anika Li, Jingxi Luo, Yi Jarrahi, Mona Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States

We report a diffractive super-resolution image display framework consisting of a digital encoder and an all-optical decoder to synthesize/project high-resolution images at an output plane using a low-resolution input ... 详细信息

ISBN: (纸本)9781957171258

关键词： Light modulators

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