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Article
Open AccessPrediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN
To propose a style transfer model for multi-contrast magnetic resonance imaging (MRI) images with a cycle-consistent generative adversarial network (CycleGAN) and evaluate the image quality and prognosis predi...
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Article
Radiomics and dosiomics for predicting complete response to definitive chemoradiotherapy patients with oesophageal squamous cell cancer using the hybrid institution model
To develop a multi-institutional prediction model to estimate the local response to oesophageal squamous cell carcinoma (ESCC) treated with definitive radiotherapy based on radiomics and dosiomics features.
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Article
SCTB-V2: the 2nd version of the Chinese treebank in the scientific domain
Word segmentation, part-of-speech (POS) tagging, and syntactic parsing are three fundamental Chinese analysis tasks for Chinese language processing, which are also crucial for various downstream tasks such as ...
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Article
Image masking using convolutional networks improves performance classification of radiation pneumonitis for non-small cell lung cancer
Radiation pneumonitis (RP) is a serious side effect of radiotherapy in patients with locally advanced non-small-cell lung cancer (NSCLC). Image crop** reduces training noise and may improve classification ac...
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Article
MRI image synthesis for fluid-attenuated inversion recovery and diffusion-weighted images with deep learning
This study aims to synthesize fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted images (DWI) with a deep conditional adversarial network from T1- and T2-weighted magnetic resonance imaging (MR...
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Chapter
Future of SBRT with AI (Artificial Intelligence)
The treatment technique of SBRT has progressed with technological innovation. Recently, SBRT uses IMRT technique, thus treatment planning is complicated and the measurement-based patients QA is needed before i...
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Article
Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning
To predict the gamma passing rate (GPR) of the three-dimensional (3D) detector array-based volumetric modulated arc therapy (VMAT) quality assurance (QA) for prostate cancer using a convolutional neural networ...
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Article
Open AccessPrediction of radiation pneumonitis after definitive radiotherapy for locally advanced non-small cell lung cancer using multi-region radiomics analysis
To predict grade ≥ 2 radiation pneumonitis (RP) in patients with locally advanced non-small cell lung cancer (NSCLC) using multi-region radiomics analysis. Data from 77 patients with NSCLC who underwent defini...
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Article
Evaluation of metal artefact techniques with same contrast scale for different commercially available dual-energy computed tomography scanners
The aim of our study is to evaluate the metal artefact reduction techniques with the same contrast scale for different vendors’ dual-energy CT (DECT): kV-CT image with metal artefact reduction method and monoe...
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Article
Improving automatic contrast agent extraction system using monochromatic CT number
In a previous study, a phantom study of a contrast agent extraction system with computed tomography (CT) number and raw-data-based electron density (ED) was described. The current study improved this system wi...
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Article
Open AccessAcute appendicitis associated with the presence of schistosome eggs in a sailor: a case report
Schistosomiasis is prevalent in tropical and subtropical areas and rarely reported in developed countries. Schistosomiasis often occurs as a chronic illness, which can cause liver and intestinal damage. Append...
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Chapter and Conference Paper
Scientific Keyphrase Extraction: Extracting Candidates with Semi-supervised Data Augmentation
Keyphrase extraction can provide effective ways of organizing scientific documents. For this task, neural-based methods usually suffer from performance unstability due to data scarcity. In this paper, we adopt...
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Article
Evaluation of beam modeling for small fields using a flattening filter-free beam
The characteristics of a flattening filter-free (FFF) beam are different from those of a beam with a flattening filter. For small-field dosimetry, the beam data needed by the radiation treatment planning syste...
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Article
Open AccessPrognostic value of hematological parameters in patients undergoing esophagectomy for esophageal squamous cell carcinoma
It is now widely recognized that outcomes in cancer patients are not determined by their tumor characteristics alone. In this study, we retrospectively analyzed the clinical data of esophageal cancer patients ...
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Article
Compilation of an idiom example database for supervised idiom identification
Some phrases can be interpreted in their context either idiomatically (figuratively) or literally. The precise identification of idioms is essential in order to achieve full-fledged natural language processing...
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Chapter and Conference Paper
Improving Coreference Resolution Using Bridging Reference Resolution and Automatically Acquired Synonyms
We present a knowledge-rich approach to Japanese coreference resolution. In Japanese, proper noun coreference and common noun coreference occupy a central position in coreference relations. To improve corefere...
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Chapter and Conference Paper
Zero Pronoun Resolution Based on Automatically Constructed Case Frames and Structural Preference of Antecedents
This paper describes a method to detect and resolve zero pronouns in Japanese text. We detect zero pronouns by case analysis based on automatically constructed case frames, and select their appropriate anteced...
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Chapter and Conference Paper
PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. The unambiguous examples are utilized to acquire precise lexical preferences for P...
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Chapter and Conference Paper
Automatic Acquisition of Basic Katakana Lexicon from a Given Corpus
Katakana, Japanese phonogram mainly used for loan words, is a troublemaker in Japanese word segmentation. Since Katakana words are heavily domain-dependent and there are many Katakana neologisms, it is almost ...
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Chapter and Conference Paper
Text Understanding for Conversational Agent
This paper describes a text understanding system for conversational agents. The system resolves zero, direct and indirect anaphors in Japanese texts by integrating two sorts of linguistic resources: a hand-ann...
