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๐Ÿ” dmitri truhachev ๐Ÿ“‚ Engineering
Showing 51 results for "dmitri truhachev" in Engineering
Engineering Preprint PDF DOI

BM4D-PC: nonlocal volumetric denoising of principal components of diffusion-weighted MR images

Vinicius P. Campos, Diego Szczupak, Tales Santini, Afonso C. Silva, Alessandro Foi, Marcelo A. C. Vieira, Corey A. Baron ยท 2025

Purpose: Noise in diffusion-weighted MRI (dMRI) is often spatially correlated due to different acquisition and reconstruction strategies, which is not fully accounted for in current denoising strategiโ€ฆ

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Engineering Preprint PDF DOI

Fully Differentiable dMRI Streamline Propagation in PyTorch

Jongyeon Yoon, Elyssa M. McMaster, Michael E. Kim, Gaurav Rudravaram, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer ยท 2025

Diffusion MRI (dMRI) provides a distinctive means to probe the microstructural architecture of living tissue, facilitating applications such as brain connectivity analysis, modeling across multiple coโ€ฆ

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Engineering Preprint PDF DOI

3C Resources Joint Allocation for Time-Deterministic Remote Sensing Image Backhaul in the Space-Ground Integrated Network

Chongxiao Cai, Yan Zhu, Min Sheng, Jiandong Li, Yan Shi, Di Zhou, Ziwen Xie, Chen Zhang ยท 2025

Low-Earth-orbit (LEO) satellites assist observation satellites (OSs) to compress and backhaul more time-determined images (TDI) has become a new paradigm, which is used to enhance the timeout caused bโ€ฆ

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Engineering Preprint PDF DOI

Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI

Mu Nan, Taohui Xiao, Ruoyou Wu, Shoujun Yu, Ye Li, Hairong Zheng, Shanshan Wang ยท 2025

Diffusion MRI (dMRI) angular super-resolution (ASR) aims to reconstruct high-angular-resolution (HAR) signals from limited low-angular-resolution (LAR) data without prolonging scan time. However, exisโ€ฆ

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Engineering Preprint PDF DOI

The Sustainability of the Leo Orbit Capacity via Risk-Driven Active Debris Removal

Yacob Medhin, Simone Servadio ยท 2025

The growing number of space debris in Low Earth Orbit (LEO) jeopardizes long-term orbital sustainability, requiring efficient risk assessment for active debris removal (ADR) missions. This study preseโ€ฆ

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Engineering Preprint PDF DOI

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network

Xinke Ma, Yongsheng Pan, Qingjie Zeng, Mengkang Lu, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia ยท 2025

Effective representation of Regions of Interest (ROI) and independent alignment of these ROIs can significantly enhance the performance of deformable medical image registration (DMIR). However, currenโ€ฆ

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Engineering Preprint PDF DOI

Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference?

Yinzhe Wu, Jiahao Huang, Fanwen Wang, Mengze Gao, Congyu Liao, Guang Yang, Kawin Setsompop ยท 2025

Diffusion MRI (dMRI) is essential for studying brain microstructure, but high-resolution imaging remains challenging due to the inherent trade-offs between acquisition time and signal-to-noise ratio (โ€ฆ

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Engineering Preprint PDF DOI

FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI

Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi ยท 2025

Diffusion MRI (dMRI) provides unique insights into fetal brain microstructure in utero. Longitudinal and cross-sectional fetal dMRI studies can reveal crucial neurodevelopmental changes but require prโ€ฆ

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Engineering Preprint PDF DOI

A Steerable Deep Network for Model-Free Diffusion MRI Registration

Gianfranco Cortes, Xiaoda Qu, Baba C. Vemuri ยท 2025

Nonrigid registration is vital to medical image analysis but remains challenging for diffusion MRI (dMRI) due to its high-dimensional, orientation-dependent nature. While classical methods are accuratโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Vehicle Security: A Deep Dive into Threat Modeling

Amal Yousseef, Shalaka Satam, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Salim Hariri, Partik Satam ยท 2024

Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, the increasing complexity and connectivity of AV systems inโ€ฆ

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Engineering Preprint PDF DOI

Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset

Shanshan Wang, Shoujun Yu, Jian Cheng, Sen Jia, Changjun Tie, Jiayu Zhu, Haohao Peng, Yijing Dong, Jianzhong He, Fan Zhang, Yaowen Xing, Xiuqin Jia, Qi Yang, Qiyuan Tian, Hua Guo, Guobin Li, Hairong Zheng ยท 2024

Diffusion magnetic resonance imaging (dMRI) provides critical insights into the microstructural and connectional organization of the human brain. However, the availability of high-field, open-access dโ€ฆ

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Engineering Preprint PDF DOI

Equivariant spatio-hemispherical networks for diffusion MRI deconvolution

Axel Elaldi, Guido Gerig, Neel Dey ยท 2024

Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain. This paper advances the analysis of such spatio-spheโ€ฆ

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Engineering Preprint PDF DOI

MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels

Moucheng Xu, Yukun Zhou, Tobias Goodwin-Allcock, Kimia Firoozabadi, Joseph Jacob, Daniel C. Alexander, Paddy J. Slator ยท 2024

We introduce and demonstrate a new paradigm for quantitative parameter mapping in MRI. Parameter mapping techniques, such as diffusion MRI and quantitative MRI, have the potential to robustly and repeโ€ฆ

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Engineering Preprint PDF DOI

Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration

Nathan Monnet, Loic Marechal, Julian Jang-Jaccard, Alain Mermoud ยท 2024

We introduce a novel approach to text classification by combining doc2vec embeddings with advanced clustering techniques to improve the analysis of specialized, high-dimensional textual data. We integโ€ฆ

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Engineering Preprint PDF DOI

NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention Mechanisms

Gurucharan Marthi Krishna Kumar, Janine Mendola, Amir Shmuel ยท 2024

Deformable image registration is crucial for aligning medical images in a nonlinear fashion across different modalities, allowing for precise spatial correspondence between varying anatomical structurโ€ฆ

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Engineering Preprint PDF DOI

Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning

Sheng Chen, Zihao Tang, Xinyi Wang, Chenyu Wang, Weidong Cai ยท 2024

Diffusion magnetic resonance imaging (dMRI) is a crucial technique in neuroimaging studies, allowing for the non-invasive probing of the underlying structures of brain tissues. Clinical dMRI data is sโ€ฆ

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Engineering Preprint PDF DOI

Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains

Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra ยท 2024

Diffusion Magnetic Resonance Imaging (dMRI) is a non-invasive method for depicting brain microstructure in vivo. Fiber orientation distributions (FODs) are mathematical representations extensively useโ€ฆ

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Engineering Preprint PDF DOI

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

Davood Karimi, Camilo Calixto, Haykel Snoussi, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin Rollins, Camilo Jaimes, Ali Gholipour, Simon K. Warfield ยท 2024

Diffusion-weighted MRI is increasingly used to study the normal and abnormal development of fetal brain in-utero. Recent studies have shown that dMRI can offer invaluable insights into the neurodeveloโ€ฆ

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Engineering Preprint PDF DOI

Deep multi-intentional inverse reinforcement learning for cognitive multi-function radar inverse cognition

Hancong Feng, KaiLI Jiang, Bin tang ยท 2024

In recent years, radar systems have advanced significantly, offering environmental adaptation and multi-task capabilities. These developments pose new challenges for electronic intelligence (Elint) anโ€ฆ

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Engineering Preprint PDF DOI

Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI

Alp G. Cicimen, Henry F. J. Tregidgo, Matteo Figini, Eirini Messaritaki, Carolyn B. McNabb, Marco Palombo, C. John Evans, Mara Cercignani, Derek K. Jones, Daniel C. Alexander ยท 2024

Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods. However, the difficulty in obtaining ultra-high resolution Diโ€ฆ

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