Results 281 to 290 of about 1,826,590 (358)

Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction. [PDF]

Front Cardiovasc Med
Adam NL, Kowalik G, Tyler A, Mooiweer R, Neofytou AP, McElroy S, Kunze K, Speier P, Stäb D, Neji R, Nazir MS, Razavi R, Chiribiri A, Roujol S.   +13 more
europepmc   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

tomoCAM: fast model-based iterative reconstruction via GPU acceleration and non-uniform fast Fourier transforms. [PDF]

J Synchrotron Radiat
Kumar D, Parkinson DY, Donatelli JJ.
europepmc   +1 more source

Very Low-Dose (0.15 mGy) Chest CT Protocols Using the COPDGene 2 Test Object and a Third-Generation Dual-Source CT Scanner With Corresponding Third-Generation Iterative Reconstruction Software

Investigative Radiology, 2015
J. Newell, M. Fuld, T. Allmendinger, J. Sieren, Kung-Sik Chan, Junfeng Guo, E. Hoffman   +6 more
semanticscholar   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

Advanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang, Dhirodaatto Sarkar, Jiaqi Suo, Alex Chortos   +3 more
wiley   +1 more source

Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling

Advanced Intelligent Systems, EarlyView.
In this article, an energy‐efficient hardware implementation of spiking‐restricted Boltzmann machines using the pseudo‐synaptic sampling (PS2) method is presented. In the PS2 method, superior area and energy efficiency over previous approaches, such as the random walk method, are demonstrated, achieving a 94.94% reduction in power consumption during on‐
Hyunwoo Kim, Suyeon Jang, Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Sungmin Lee, Matthew BrightSky, Sangbum Kim   +10 more
wiley   +1 more source

A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities. [PDF]

BMC Med Imaging
Du H, Sui X, Zhao R, Wang J, Ming Y, Piao S, Wang J, Ma Z, Wang Y, Song L, Song W.   +10 more
europepmc   +1 more source

GelLight: Illumination Design, Modeling, and Optimization for Camera‐Based Tactile Sensor

Advanced Intelligent Systems, EarlyView.
A systematic modeling and optimization method for camera‐based tactile sensor illumination is proposed, which significantly improves the tactile performance and achieves high geometry reconstruction accuracy. The performance is validated by intensive simulation and real‐world experiments.
Jieji Ren, Wenxin Du, Yueshi Dong, Ningbin Zhang, Heng Guo, Boxin Shi, Jiang Zou, Guoying Gu   +7 more
wiley   +1 more source

Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices

Advanced Intelligent Systems, EarlyView.
In this study, a novel graph‐based representation methodology is proposed to effectively address current challenges in description. An ideal approach to representing the device parameters in the static equilibrium state is suggested. In the trained predictive model, superior accuracy is demonstrated, making it a reliable tool for representing organic ...
Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, Seokwoo Lee, Noseong Park, Joonyoung Yang   +11 more
wiley   +1 more source

Computed tomography dose index determination in dose modulation prospectively involving the third-generation iterative reconstruction and noise index. [PDF]

J Appl Clin Med Phys
Scott AW, Alancherry ASP, Lee C, Eastman E, Zhou Y.   +4 more
europepmc   +1 more source