Results 41 to 50 of about 870,001 (220)

Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry [PDF]

, 2019
Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available.
Chen, Claire Lifan, Jalali, Bahram, Li, Yueqin, Mahjoubfar, Ata, Niazi, Kayvan Reza, Pei, Li   +5 more
core   +2 more sources

Comparison of Visual Evoked Potential Components In Female Patients of Primary Open Angle Glaucoma with Age Matched Control Females

Delhi Journal of Ophthalmology, 2013
Objective: To compare the P100 latency and P100 amplitude of pattern reversal visual evoked potential VEP in a cohort of female patients having primary open angle glaucoma (POAG) with those of age matched control females.
Ruchi Kothari, Pradeep Bokariya, Smita Singh, Ramji Singh   +3 more
doaj   +1 more source

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

, 2019
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these ...
Chatterjee, Niladrish, Erez, Mattan, Lee, Donghyuk, Lym, Sangkug, O'Connor, Mike   +4 more
core   +1 more source

Electro-physiological Changes in the Central Nervous System by Visual Evoked Potential in Diabetic Patients

Journal of Nepal Health Research Council, 2023
Background: Increasing sedentary lifestyle in today’s world has increased the prevalence of Diabetes Mellitus. Loss of vision due to diabetic retinopathy is a major public health burden.
Neha Malla, Narayan B Mahotra, Lava Shrestha, Sajun Narayan Joshi, Sanyukta Gurung   +4 more
doaj   +1 more source

Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library

, 2017
We present an analysis on optimizing performance of a single C++11 source code using the Alpaka hardware abstraction library. For this we use the general matrix multiplication (GEMM) algorithm in order to show that compilers can optimize Alpaka code ...
Bussmann, Michael, Huebl, Axel, Matthes, Alexander, Widera, René, Worpitz, Benjamin, Zenker, Erik   +5 more
core   +1 more source

Sensitivity of optical coherence tomography and visual evoked potential in demyelinating optic neuritis

Journal of the Egyptian Ophthalmological Society, 2020
Aim The aim of this study is to analyze the structural and functional abnormalities of the optic nerve in multiple sclerosis (MS) patients utilizing optical coherence tomography (OCT) and visual evoked potential (VEP).
Youssef A.H Helmy, Emad A Sawaby, Mohammed A Awadalla, Shaymaa H Salah   +3 more
doaj   +1 more source

Apathy and Anhedonia: Clinical and Neurophysiological Assessment of a Romanian Cohort

Brain Sciences, 2021
Background: Patients with Parkinson’s disease (PD) often have, besides the characteristic motor manifestations, a wide variety of non-motor symptoms.
Diana Sipos-Lascu, Ștefan-Cristian Vesa, Lăcrămioara Perju-Dumbravă   +2 more
doaj   +1 more source

SSA of biomedical signals: A linear invariant systems approach [PDF]

, 2010
Singular spectrum analysis (SSA) is considered from a linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters ...
Figueiredo, Nuno, Georgieva, P., Lang, E.W., Santos, I.M., Teixeira, Ana Rita, Tomé, A.M.   +5 more
core   +2 more sources

Investigation of Relationship of Stereoacuity with Retinal Nerve Fiber Layer Thickness and P100 Latency in Patients with Multiple Sclerosis with and Without Optic Neuritis

Turkish Journal Of Neurology, 2022
Objective: It was aimed to investigate the relationship of stereoacuity with retinal nerve fiber layer thickness (RNFLT) and P100 latency in multiple sclerosis (MS) patients with and without optic neuritis (ON). Materials and Methods: Twenty-nine patients diagnosed with clinically definite MS with and without a history of ON were included in this ...
Belkıs Koçtekin, Burcu Yüksel, Doğan Durmaz, Mert Abdullah Çilli, Mustafa Agah Tekindal, Deniz Turgut Çoban   +5 more
openaire   +2 more sources

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source