:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Shengzi, Shen, Le, Xing, Yuxing
Format:	Preprint
Published:	2024
Subjects:	Medical Physics
Online Access:	https://arxiv.org/abs/2403.17375
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training of a deep learning based digital subtraction angiography method using synthetic data
by: Lizhen Duan, et al.
Published: (2024)

Automatic Pavlov ratio measurement method based on spinal landmarks identification by a deep‐learning model
by: Yongli Wang, et al.
Published: (2024)

An end‐to‐end deep learning method for reconstructing SMS‐PI accelerated musculoskeletal MRI
by: Mahmoud Mostapha, et al.
Published: (2025)

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
by: Hedayati, Eisa, et al.
Published: (2023)

Development and in silico imaging trial evaluation of a deep‐learning‐based transmission‐less attenuation compensation method for DaT SPECT
by: Zitong Yu, et al.
Published: (2025)

Development and in silico imaging trial evaluation of a deep-learning-based transmission-less attenuation compensation method for DaT SPECT
by: Yu, Zitong, et al.
Published: (2025)

Evaluating the robustness of deep learning models trained to diagnose idiopathic pulmonary fibrosis using a retrospective study
by: Wenxi Yu, et al.
Published: (2025)

A preliminary study of a hybrid transformer with enhanced local feature fusion for nuchal translucency ultrasound image segmentation
by: Shuang Wang, et al.
Published: (2026)

Automatic assessment of DWI‐ASPECTS for acute ischemic stroke based on deep learning
by: Ting Fang, et al.
Published: (2024)

A tissue-informed deep learning-based method for positron range correction in preclinical 68Ga PET imaging
by: Encina-Baranda, Nerea, et al.
Published: (2025)

A multi‐source feature‐driven deep learning method to generate linear energy transfer distribution for proton therapy
by: Qian Liu, et al.
Published: (2025)

Novel pre‐spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy
by: John C. Asbach, et al.
Published: (2025)

CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT
by: Yu, Zitong, et al.
Published: (2024)

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
by: Bench, Ciaran, et al.
Published: (2025)

Theoretical and experimental study of attenuation in cancellous bone
by: Xu, Wenyi, et al.
Published: (2023)

Impact of deep learning reconstructions on image quality and liver lesion detectability in dual‐energy CT: An anthropomorphic phantom study
by: Aurélie Pauthe, et al.
Published: (2025)

A response matrix determined with a coincidence-based acquisition for correction of charge sharing spectral distortions in energy-resolved photon counting detectors
by: Monaco, Vincenzo, et al.
Published: (2025)

Impact of deep learning‐based multiorgan segmentation methods on patient‐specific internal dosimetry in PET/CT imaging: A comparative study
by: Mehrnoosh Karimipourfard, et al.
Published: (2024)

Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
by: Zhongxing Zhou, et al.
Published: (2024)

General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations
by: Ma, Genwei, et al.
Published: (2026)

Construction of a classification model for liver fibrosis in MAFLD based on multiparametric MRI radiomics and machine learning: A rat study
by: Xing Xia, et al.
Published: (2026)

Preoperative CT‐based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors
by: Ping Yang, et al.
Published: (2024)

Thorax‐encompassing multi‐modality PET/CT deep learning model for resected lung cancer prognostication: A retrospective, multicenter study
by: Jaryd R. Christie, et al.
Published: (2025)

Evaluating the resolution of AI-based accelerated MR reconstruction using a deep learning-based model observer
by: Yu, Zitong, et al.
Published: (2026)

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
by: Jue Jiang, et al.
Published: (2024)

Technical note: A GPU‐based shared Monte Carlo method for fast photon transport in multi‐energy x‐ray exposures
by: Yiwen Zhou, et al.
Published: (2024)

An experimental method for direct measurement of CT detector presampling MTF from reconstructed images
by: Linying Zhan, et al.
Published: (2026)

A deep learning model for inter-fraction head and neck anatomical changes
by: Burlacu, Tiberiu, et al.
Published: (2024)

Benchmarking deep learning‐based low‐dose CT image denoising algorithms
by: Elias Eulig, et al.
Published: (2024)

Geometrically focused training and evaluation of organs‐at‐risk segmentation via deep learning
by: Ruiyan Ni, et al.
Published: (2025)

Breast radiation therapy fluence painting with multi‐agent deep reinforcement learning
by: Yang Dongrong, et al.
Published: (2025)

Explainable AI for raising confidence in deep learning‐based tumor tracking models
by: Dragos Grama, et al.
Published: (2025)

Sampling Density Compensation using Fast Fourier Deconvolution
by: Luo, Rui, et al.
Published: (2025)

Circulating tumor cell detection in cancer patients using in-flow deep learning holography
by: Mallery, Kevin, et al.
Published: (2025)

Photoacoustic image reconstruction via deep learning
by: Antholzer, Stephan, et al.
Published: (2019)

Feasibility study of a machine learning inspired approach for VMAT optimization
by: Xin Wu, et al.
Published: (2026)

Automated landmark detection and view positioning assessment of shoulder grashey view radiographs using cascade deep learning: A dual‐center validation study
by: Seung Min Ryu, et al.
Published: (2026)

A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning
by: Jingchen Ma, et al.
Published: (2024)

End‐to‐end deep learning approach for uterine artery‐ovarian artery anastomosis detection from digital subtraction angiography sequences
by: Yu Lei, et al.
Published: (2025)

Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics
by: Rucha Deshpande, et al.
Published: (2024)