標(biāo)題: Titlebook: Digital Molecular Magnetic Resonance Imaging; Bamidele O. Awojoyogbe,Michael O. Dada Book 2024 The Editor(s) (if applicable) and The Autho [打印本頁] 作者: Buchanan 時(shí)間: 2025-3-21 17:23
書目名稱Digital Molecular Magnetic Resonance Imaging影響因子(影響力)
書目名稱Digital Molecular Magnetic Resonance Imaging影響因子(影響力)學(xué)科排名
書目名稱Digital Molecular Magnetic Resonance Imaging網(wǎng)絡(luò)公開度
書目名稱Digital Molecular Magnetic Resonance Imaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Digital Molecular Magnetic Resonance Imaging被引頻次
書目名稱Digital Molecular Magnetic Resonance Imaging被引頻次學(xué)科排名
書目名稱Digital Molecular Magnetic Resonance Imaging年度引用
書目名稱Digital Molecular Magnetic Resonance Imaging年度引用學(xué)科排名
書目名稱Digital Molecular Magnetic Resonance Imaging讀者反饋
書目名稱Digital Molecular Magnetic Resonance Imaging讀者反饋學(xué)科排名
作者: Rheumatologist 時(shí)間: 2025-3-21 23:23 作者: 杠桿 時(shí)間: 2025-3-22 01:52
New Methodology and Modelling in Magnetic Resonance Imaging,problems solved in this chapter are described by a Bloch related equation based on close observation of how the system usually behaves in the presence of NMR magnetic fields. A few numbers of realistic assumptions have been made in order to obtain a solution to each differential equation that has be作者: 流眼淚 時(shí)間: 2025-3-22 07:19 作者: Brain-Waves 時(shí)間: 2025-3-22 12:33
Machine Learning Model for Diagnosis of Pulmonary Arterial Hypertension and Severe Aortic-Valve Ste) from Magnetic resonance relaxometry data that classifies the selected human diseases. The goal is to (i) develop machine learning models to improve the accuracy of predictions and decision-making in different models, (ii) use machine learning techniques for sorting across big datasets to identify 作者: lymphoma 時(shí)間: 2025-3-22 15:56
,A Convolution Neural Network for Artificial Intelligence-Based Classification of Alzheimer’s Diseasn of medical pictures related to Alzheimer’s disease. The CNN model will be used to train MRI brain images. In order to construct and deploy the model, this chapter makes use of specialized application software and libraries including Jupyter notebook, Python 3, Keras, and TensorFlow. The trained mo作者: lymphoma 時(shí)間: 2025-3-22 17:13 作者: chandel 時(shí)間: 2025-3-23 00:40 作者: 袖章 時(shí)間: 2025-3-23 02:17 作者: Ordnance 時(shí)間: 2025-3-23 07:09
Neural Radiance Fields (NeRFs) Technique to Render 3D Reconstruction of Magnetic Resonance Images,s, the thorough investigation of the intrinsic three-dimensional complexity of MRI data is restricted by conventional 2D visualization techniques. This restriction makes it difficult to interpret and comprehend complex anatomical details accurately, which reduces the possibility of making better cli作者: 最高峰 時(shí)間: 2025-3-23 13:33
Computational Molecular Magnetic Resonance Fingerprinting in Digital Health,he molecular level with special application to digital health. Digital health design can be likened to complex systems and are often dominated by large numbers of processes. For example, when deviations occur in normal human system, human disease conditions are produced. Understanding these processe作者: 我怕被刺穿 時(shí)間: 2025-3-23 15:21 作者: Pandemic 時(shí)間: 2025-3-23 18:38 作者: 對(duì)手 時(shí)間: 2025-3-23 22:21
General Conclusion, (NeRFs) are one such invention that makes use of a neural network to understand the distribution of light and density within a scene, allowing for the production of photorealistic renderings from any angle. NeRFs may be able to overcome obstacles like occlusion and oversimplification, opening the d作者: 效果 時(shí)間: 2025-3-24 06:08
Democratizing Access to Magnetic Resonance Imaging: Capacity Building in Quantum Computing,uting, an entirely new way of processing information, when combined with AI, has the potential, without exaggeration, to bring about a new computing revolution. The field of AI, particularly machine learning, is poised to experience a significant leap forward due to quantum computing. This advanceme作者: triptans 時(shí)間: 2025-3-24 09:18 作者: OREX 時(shí)間: 2025-3-24 11:16
Salman Shehzada,Kazufumi Mochizukita can now be safely transferred between platforms. The tremendous transformation that will take healthcare to the next level will be led by cloud-based digital health solutions that exchange data. By enabling people to track their health and giving doctors easy access to patient data, digital healt作者: 跟隨 時(shí)間: 2025-3-24 17:26 作者: SAGE 時(shí)間: 2025-3-24 22:14 作者: Pander 時(shí)間: 2025-3-25 03:10 作者: 中古 時(shí)間: 2025-3-25 04:01
s have shown great promise in the fields of computer graphics and vision, but there is still much to learn about how to use them in the context of medical imaging, especially MRI data. The main goal of this chapter is to apply NeRFs to establish a strong framework for the three-dimensional rendering作者: 幼兒 時(shí)間: 2025-3-25 10:10 作者: opinionated 時(shí)間: 2025-3-25 14:46
cal formulation. In this study, we have solved the Bloch NMR flow equation quantum mechanically to describe the evolution of magnetic resonance imaging from low magnetic field to high magnetic field. We must note that, the expression . gives the order of magnitude of the low static magnetic field B.作者: 刺穿 時(shí)間: 2025-3-25 18:53
scans of brain tumors according to their class (glioma, meningioma, or pituitary tumors) (ii) develop a transfer learning model capable of accurately classifying the various types of brain tumors (iii) develop an easy-to-use web application/GUI based on the trained model.作者: NOCT 時(shí)間: 2025-3-25 23:37
er. NeRF techniques have great potential to advance the visualization and quantification of complex pathologies affecting important organs such as the brain and chest by allowing MRI‘s exceptional soft tissue perspectives to be unlocked. Coordinate-based radiance fields tailored to MRI constraints m作者: 僵硬 時(shí)間: 2025-3-26 01:34
n will revolutionize our approach to magnetic resonance imaging and its applications in various fields of medicine. This chapter focuses international attention to democratizing access to magnetic resonance imaging powered by quantum computing.作者: 享樂主義者 時(shí)間: 2025-3-26 05:02 作者: Fretful 時(shí)間: 2025-3-26 09:49
Physics Informed Neural Networks (PINNs), mostly focused on modifying the PINN through the use of different activation functions, neural network architectures, gradient optimisation techniques, and loss function structures. Numerous other applications have been demonstrated for PINNs, even though they have proven to be more useful in some 作者: 震驚 時(shí)間: 2025-3-26 16:12 作者: ACRID 時(shí)間: 2025-3-26 18:36 作者: 天然熱噴泉 時(shí)間: 2025-3-26 22:53
Neural Radiance Fields (NeRFs) Technique to Render 3D Reconstruction of Magnetic Resonance Images,s have shown great promise in the fields of computer graphics and vision, but there is still much to learn about how to use them in the context of medical imaging, especially MRI data. The main goal of this chapter is to apply NeRFs to establish a strong framework for the three-dimensional rendering作者: 出處 時(shí)間: 2025-3-27 01:46 作者: Engulf 時(shí)間: 2025-3-27 09:12 作者: 矛盾心理 時(shí)間: 2025-3-27 12:29
Artificial Intelligence-Based Classification of Brain Tumors,scans of brain tumors according to their class (glioma, meningioma, or pituitary tumors) (ii) develop a transfer learning model capable of accurately classifying the various types of brain tumors (iii) develop an easy-to-use web application/GUI based on the trained model.作者: 不理會(huì) 時(shí)間: 2025-3-27 15:08 作者: MAPLE 時(shí)間: 2025-3-27 19:21 作者: 無聊點(diǎn)好 時(shí)間: 2025-3-27 22:20
2196-8861 ties. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years..978-981-97-6372-6978-981-97-6370-2Series ISSN 2196-8861 Series E-ISSN 2196-887X 作者: 常到 時(shí)間: 2025-3-28 05:49
Digital Molecular Magnetic Resonance Imaging978-981-97-6370-2Series ISSN 2196-8861 Series E-ISSN 2196-887X 作者: lymphoma 時(shí)間: 2025-3-28 07:33 作者: 致命 時(shí)間: 2025-3-28 12:27
Series in BioEngineeringhttp://image.papertrans.cn/e/image/284722.jpg作者: 軟膏 時(shí)間: 2025-3-28 17:21
https://doi.org/10.1007/978-981-97-6370-2Bloch NMR; Physics-informed neural networks (PINNs); Magnetic resonance relaxometry; Machine learning m作者: interrupt 時(shí)間: 2025-3-28 22:01 作者: Blood-Clot 時(shí)間: 2025-3-29 01:54 作者: collagen 時(shí)間: 2025-3-29 03:45 作者: 移動(dòng) 時(shí)間: 2025-3-29 08:20
Springer Series in Computational Mathematicsproblems solved in this chapter are described by a Bloch related equation based on close observation of how the system usually behaves in the presence of NMR magnetic fields. A few numbers of realistic assumptions have been made in order to obtain a solution to each differential equation that has be作者: 人類的發(fā)源 時(shí)間: 2025-3-29 12:29 作者: Proponent 時(shí)間: 2025-3-29 18:09 作者: calorie 時(shí)間: 2025-3-29 21:43 作者: 自制 時(shí)間: 2025-3-30 01:17
,Anregung von Quantensprüngen durch St??e,s our understanding of the physical mechanisms behind medical interventions and opens the door to more effective and personalized clinical hyperthermia, which could lead to improved patient outcomes and advancements in medical management. The goal is to design and implement a Physics-Informed Neural作者: 有權(quán) 時(shí)間: 2025-3-30 05:16
https://doi.org/10.1007/978-3-642-60266-5nd thermal diffusivity. To streamline the analysis, metabolic heat generation was assumed to be zero in both tissues. The distribution of temperature in biological tissues offers several significant benefits across various fields including healthcare and medical research. The goal is to demonstrate 作者: 不愛防注射 時(shí)間: 2025-3-30 09:29 作者: SOW 時(shí)間: 2025-3-30 13:46 作者: troponins 時(shí)間: 2025-3-30 19:18 作者: 宣稱 時(shí)間: 2025-3-30 23:38
fectively by developing specific treatment plans that are generally referred to as personalized treatments. This new approach in medicine involves using novel methodology as a bridge between diagnostic and therapeutic applications to form a single agent, allowing for diagnosis, drug delivery and tre作者: 消音器 時(shí)間: 2025-3-31 01:14
the nature and location of the tumor so that doctors can forecast the patient’s survival chances and make treatment selections ranging from surgery to radiotherapy and chemotherapy In addition, pathologists, who are highly trained in the field of neurosurgery, visually examine patients to diagnose 作者: OTHER 時(shí)間: 2025-3-31 06:36
(NeRFs) are one such invention that makes use of a neural network to understand the distribution of light and density within a scene, allowing for the production of photorealistic renderings from any angle. NeRFs may be able to overcome obstacles like occlusion and oversimplification, opening the d作者: Anthology 時(shí)間: 2025-3-31 09:23
