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๐Ÿ” zhenjiang hu ๐Ÿ“‚ Engineering
Showing 62 results for "zhenjiang hu" in Engineering
Engineering Preprint PDF DOI

Underdetermined Blind Source Separation via Weighted Simplex Shrinkage Regularization and Quantum Deep Image Prior

Chia-Hsiang Lin, Si-Sheng Young ยท 2026

As most optical satellites remotely acquire multispectral images (MSIs) with limited spatial resolution, multispectral unmixing (MU) becomes a critical signal processing technology for analyzing the pโ€ฆ

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Engineering Preprint PDF DOI

From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts

You Wu, Zhenguo Wang, Naiyu Wang ยท 2026

This paper addresses a missing capability in infrastructure resilience: turning fast, global AI weather forecasts into asset-scale, actionable risk. We introduce the AI-based Correction-Downscaling Frโ€ฆ

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Engineering Preprint PDF DOI

Limited-Angle CT Reconstruction Using Multi-Volume Latent Consistency Model

Hinako Isogai, Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao ยท 2026

Limited-angle computed tomography (LACT) reconstruction is an inverse problem with severe ill-posedness arising from missing projection angles, and it is difficult to restore high-precision images witโ€ฆ

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Engineering Preprint PDF DOI

(hu)Man vs. Machine: In the Future of Motorsport, can Autonomous Vehicles Compete?

Armand Amaritei, Amber-Lily Blackadder, Sebastian Donnelly, Lora Hernandez, James Vine, Alexander Rast, Matthias Rolf, Andrew Bradley ยท 2026

Motorsport has historically driven technological innovation in the automotive industry. Autonomous racing provides a proving ground to push the limits of performance of autonomous vehicle (AV) systemsโ€ฆ

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Engineering Preprint PDF DOI

Bonnet: Ultra-fast whole-body bone segmentation from CT scans

Hanjiang Zhu, Pedro Martelleto Rezende, Zhang Yang, Tong Ye, Bruce Z. Gao, Feng Luo, Siyu Huang, Jiancheng Yang ยท 2026

This work proposes Bonnet, an ultra-fast sparse-volume pipeline for whole-body bone segmentation from CT scans. Accurate bone segmentation is important for surgical planning and anatomical analysis, bโ€ฆ

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Engineering Preprint PDF DOI

Efficient Image-to-Image Schr\"odinger Bridge for CT Field of View Extension

Zhenhao Li, Song Ni, Long Yang, Xiaojie Yin, Haijun Yu, Jiazhou Wang, Hongbin Han, Weigang Hu, Yixing Huang ยท 2025

Computed tomography (CT) is a cornerstone imaging modality for non-invasive, high-resolution visualization of internal anatomical structures. However, when the scanned object exceeds the scanner's fieโ€ฆ

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Engineering Preprint PDF DOI

A Machine Learning Framework for Climate-Resilient Insurance and Real Estate Decisions

Lang Qin, Yuejin Xie, Daili Hua, Xuhui Meng ยท 2025

Extreme weather events increasingly threaten the insurance and real estate industries, creating conflicts between profitability and homeowner burdens. To address this, we propose the SSC-Insurance Modโ€ฆ

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Engineering Preprint PDF DOI

LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering

Tasnia Binte Mamun, Adhora Madhuri, Nusaiba Sobir, Taufiq Hasan ยท 2025

Lung cancer is the leading cause of patient mortality in the world. Early diagnosis of malignant pulmonary nodules in CT images can have a significant impact on reducing disease mortality and morbiditโ€ฆ

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Engineering Preprint PDF DOI

seg2med: a bridge from artificial anatomy to multimodal medical images

Zeyu Yang, Zhilin Chen, Yipeng Sun, Anika Strittmatter, Anish Raj, Ahmad Allababidi, Johann S. Rink, Frank G. Zollner ยท 2025

We present seg2med, a modular framework for anatomy-driven multimodal medical image synthesis. The system integrates three components to enable high-fidelity, cross-modality generation of CT and MR imโ€ฆ

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Engineering Preprint PDF DOI

Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction

Weijie Chen, James Wang, Alan McMillan ยท 2025

Positron Emission Tomography (PET) imaging requires accurate attenuation correction (AC) to account for photon loss due to tissue density variations. In PET/MR systems, computed tomography (CT), whichโ€ฆ

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Engineering Preprint PDF DOI

One-Shot Gesture Recognition for Underwater Diver-To-Robot Communication

Rishikesh Joshi, Junaed Sattar ยท 2025

Reliable human-robot communication is essential for underwater human-robot interaction (U-HRI), yet traditional methods such as acoustic signaling and predefined gesture-based models suffer from limitโ€ฆ

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Engineering Preprint PDF DOI

Poisson Flow Joint Model for Multiphase contrast-enhanced CT

Rongjun Ge, Ge Wang ยท 2025

In clinical practice, multiphase contrast-enhanced CT (MCCT) is important for physiological and pathological imaging with contrast injection, which undergoes non-contrast, venous, and delayed phases. โ€ฆ

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Engineering Preprint PDF DOI

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis

Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, Oliver Blanck, Francesco Cicone, Giuseppe Lucio Cascini, Paolo Zaffino, Lucia Migliorelli, Maria Francesca Spadea ยท 2024

The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) treatment planning. The use โ€ฆ

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Engineering Preprint PDF DOI

A comparative analysis for different finite element types in strain-gradient elasticity simulations performed on Firedrake and FEniCS

B. Cagri Sarar, M. Erden Yildizdag, Francesco Fabbrocino, B. Emek Abali ยท 2024

The layer-upon-layer approach in additive manufacturing, open or closed cells in polymeric or metallic foams involve an intrinsic microstructure tailored to the underlying applications. Homogenizationโ€ฆ

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Engineering Preprint PDF DOI

Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion

Fuxin Fan, Jingna Qiu, Yixing Huang, Andreas Maier ยท 2024

Providing more precise tissue attenuation information, synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) contributes to improved radiation therapy treatment planning.โ€ฆ

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Engineering Preprint PDF DOI

Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images

Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Tomoki Hakotani, Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki, Suzushi Kusano, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato ยท 2024

Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were eitheโ€ฆ

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Engineering Preprint PDF DOI

PCQ: Emotion Recognition in Speech via Progressive Channel Querying

Xincheng Wang, Liejun Wang, Yinfeng Yu, Xinxin Jiao ยท 2024

In human-computer interaction (HCI), Speech Emotion Recognition (SER) is a key technology for understanding human intentions and emotions. Traditional SER methods struggle to effectively capture the lโ€ฆ

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Engineering Preprint PDF DOI

UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution

Yang Yu ยท 2024

Deep learning-based (DL-based) hyperspectral image (HIS) super-resolution (SR) methods have achieved remarkable performance and attracted attention in industry and academia. Nonetheless, most current โ€ฆ

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Engineering Preprint PDF DOI

A Probabilistic Hadamard U-Net for MRI Bias Field Correction

Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Cetin, Ulas Bagci ยท 2024

Magnetic field inhomogeneity correction remains a challenging task in MRI analysis. Most established techniques are designed for brain MRI by supposing that image intensities in the identical tissue fโ€ฆ

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Engineering Preprint PDF DOI

Simulation-based Analysis of a Novel Loop-based Road Topology for Autonomous Vehicles

Stefan Ramdhan, Winnie Trandinh, Sathurshan Arulmohan, Xiayong Hu, Spencer Deevy, Victor Bandur, Vera Pantelic, Mark Lawford, Alan Wassyng ยท 2024

The challenges in implementing SAE Level 4/5 autonomous vehicles are manifold, with intersection navigation being a pervasive one. We analyze a novel road topology invented by a co-author of this papeโ€ฆ

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