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Finding the underlying relationships among multiple imaging modalities in a coherent fashion is one of challenging problems in the multimodal analysis. In this study, we propose a novel multimodal network approach based on multidi-…

Quantitative Methods · Quantitative Biology 2016-02-26 Hyekyoung Lee , Hyejin Kang , Moo K. Chung , Seonhee Lim , Bung-Nyun Kim , Dong Soo Lee

Terahertz (THz) communications are regarded as a pillar technology for the sixth generation (6G) wireless systems, by offering multi-ten-GHz bandwidth. To overcome the short transmission distance and huge propagation loss, ultra-massive…

Information Theory · Computer Science 2021-10-06 Chong Han , Longfei Yan , Jinhong Yuan

Simultaneous recording of electroencephalography (EEG) and functional MRI (fMRI) can provide a more complete view of brain function by merging high temporal and spatial resolutions. High-field ($\geq$3T) systems are standard, and require…

Signal Processing · Electrical Eng. & Systems 2026-02-17 Parsa Razmara , Takfarinas Medani , Majid Abbasi Sisara , Anand A. Joshi , Rui Chen , Woojae Jeong , Ye Tian , Krishna S. Nayak , Richard M. Leahy

This research paper presents a novel approach to the prediction of hypoxia in brain tumors, using multi-parametric Magnetic Resonance Imaging (MRI). Hypoxia, a condition characterized by low oxygen levels, is a common feature of malignant…

Image and Video Processing · Electrical Eng. & Systems 2024-01-26 Daniele Perlo , Georgia Kanli , Selma Boudissa , Olivier Keunen

Sparse systems are usually parameterized by a tuning parameter that determines the sparsity of the system. How to choose the right tuning parameter is a fundamental and difficult problem in learning the sparse system. In this paper, by…

Methodology · Statistics 2019-01-18 Moo K. Chung , Jamie L. Hanson , Jieping Ye , Richard J. Davidson , Seth D. Pollak

Sub-terahertz (sub-THz) multi-user multiple-input multiple-output (MU-MIMO) systems unlock immense bandwidth for 6G wireless communications. However, practical deployment of wireless systems in sub-THz bands faces critical challenges such…

Through spectral unmixing, hyperspectral imaging (HSI) in fluorescence-guided brain tumor surgery has enabled detection and classification of tumor regions invisible to the human eye. Prior unmixing work has focused on determining a minimal…

Image and Video Processing · Electrical Eng. & Systems 2024-02-01 David Black , Benoit Liquet , Sadahiro Kaneko , Antonio Di leva , Walter Stummer , Eric Suero Molina

Implementations of the Bruggeman and Maxwell Garnett homogenization formalisms were developed to estimate the relative permittivity dyadic of a homogenized composite material (HCM), namely $\underline{\underline{\epsilon}}^{\rm HCM}$,…

Optics · Physics 2025-04-07 Héctor M. Iga-Buitrón , Tom G. Mackay , Akhlesh Lakhtakia

Orthogonal frequency-division multiplexing (OFDM) is a promising waveform candidate for future joint sensing and communication systems. It is well known that the OFDM waveform is vulnerable to in-phase and quadrature-phase (IQ) imbalance,…

Signal Processing · Electrical Eng. & Systems 2023-11-17 Oliver Lang , Christian Hofbauer , Moritz Tockner , Reinhard Feger , Thomas Wagner , Mario Huemer

Bit Patterned Media (BPM) for magnetic recording provide a route to densities $>1 Tb/in^2$ and circumvents many of the challenges associated with conventional granular media technology. Instead of recording a bit on an ensemble of random…

This paper proposes a genetic algorithm assisted hybrid signal to leakage plus noise ratio (SLNR) beamforming design for wireless fronthaul scenario. The digital precoder of the proposed hybrid SLNR beamforming is expressed in closed-form.…

Information Theory · Computer Science 2018-03-08 Shangbin Wu

Portable ultra-low field MRI (ULF-MRI) systems operated in unshielded environments are susceptible to electromagnetic interference (EMI). Subject presence in the imaging region will lead to substantial noise increases, yet the dominant…

Signal Processing · Electrical Eng. & Systems 2026-02-26 Jiali He , Yamei Dai , Sheng Shen , Jiamin Wu , Zheng Xu

We present a novel method for reducing the inhomogeneous frequency broadening in the hyperfine splitting of the ground state of optically trapped atoms. This reduction is achieved by the addition of a weak light field, spatially…

Atomic Physics · Physics 2009-11-07 Ariel Kaplan , Mikkel Fredslund Andersen , Nir Davidson

Medical image segmentation being a substantial component of image processing plays a significant role to analyze gross anatomy, to locate an infirmity and to plan the surgical procedures. Segmentation of brain Magnetic Resonance Imaging…

Computer Vision and Pattern Recognition · Computer Science 2019-02-13 Mustansar Fiaz , Kamran Ali , Abdul Rehman , M. Junaid Gul , Soon Ki Jung

Purpose: Magnetization transfer saturation (MTsat) mapping is commonly used to examine the macromolecular content of brain tissue. This study compared variable flip angle (VFA) T1 mapping against compressed sensing (cs)MP2RAGE T1 mapping…

Low-field magnetic resonance imaging (MRI) offers a cost-effective alternative for medical imaging in resource-limited settings. However, its widespread adoption is hindered by two key challenges: prolonged scan times and reduced image…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Daniel Tweneboah Anyimadu , Mohammed Abdalla , Mohammed M. Abdelsamea , Ahmed Karam Eldaly

When transmitting polarised light through histological brain sections, different types of diattenuation (polarisation-dependent attenuation of light) can be observed: In some brain regions, the light is minimally attenuated when it is…

Medical Physics · Physics 2019-02-22 Miriam Menzel , Markus Axer , Katrin Amunts , Hans De Raedt , Kristel Michielsen

We explore Multi-Head FFN (MH-FFN) as a replacement of FFN in the Transformer architecture, motivated by the structural similarity between single-head attention and FFN. While multi-head mechanisms enhance expressivity in attention, naively…

Machine Learning · Computer Science 2025-12-09 Minshen Zhang , Xiang Hu , Jianguo Li , Wei Wu , Kewei Tu

Ultra-high-field (7 Tesla) BOLD fMRI offers exceptional detail in both spatial and temporal domains, along with robust signal-to-noise characteristics, making it a powerful modality for studying visual information processing in the brain.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-14 Yujian Xiong , Xuanzhao Dong , Sebastian Waz , Wenhui Zhu , Negar Mallak , Zhong-lin Lu , Yalin Wang

Harmonization of T1-weighted MR images across different scanners is crucial for ensuring consistency in neuroimaging studies. This study introduces a novel approach to direct image harmonization, moving beyond feature standardization to…

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