Works about SIGNAL convolution

Results: 2022

Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

Published in:

BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01800-3

By:

Yang, Shouyi;
Wu, Yongxin

Publication type:

Article

Cross-domain subcortical brain structure segmentation algorithm based on low-rank adaptation fine-tuning SAM.

Published in:

BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01779-x

By:

Sui, Yuan;
Hu, Qian;
Zhang, Yujie

Publication type:

Article

Artificial Intelligence in the Assessment and Grading of Acne Vulgaris: A Systematic Review.

Published in:

Journal of Personalized Medicine, 2025, v. 15, n. 6, p. 238, doi. 10.3390/jpm15060238

By:

Traini, Daniele Omar;
Palmisano, Gerardo;
Guerriero, Cristina;
Peris, Ketty

Publication type:

Article

Multimodal deep learning model for prediction of prognosis in central nervous system inflammation Open Access.

Published in:

Brain Communications, 2025, v. 7, n. 3, p. 1, doi. 10.1093/braincomms/fcaf179

By:

Choi, Bo Kyu;
Choi, Yoonhyeok;
Jang, Sooyoung;
Ha, Woo-Seok;
Cho, Soomi;
Chang, Kimoon;
Sohn, Beomseok;
Kim, Kyung Min;
Park, Yu Rang

Publication type:

Article

Brain age in multiple sclerosis: a study with deep learning and traditional machine learning Open Access.

Published in:

Brain Communications, 2025, v. 7, n. 3, p. 1, doi. 10.1093/braincomms/fcaf152

By:

Skattebøl, Lars;
Nygaard, Gro O;
Leonardsen, Esten H;
Kaufmann, Tobias;
Moridi, Thomas;
Stawiarz, Leszek;
Ouellette, Russel;
Ineichen, Benjamin V;
Ferreira, Daniel;
Muehlboeck, J Sebastian;
Beyer, Mona K;
Sowa, Piotr;
Manouchehrinia, Ali;
Westman, Eric;
Olsson, Tomas;
Celius, Elisabeth G;
Hillert, Jan;
Kockum, Ingrid;
Harbo, Hanne F;
Piehl, Fredrik

Publication type:

Article

Artificial Intelligence in Endoscopic and Ultrasound Imaging for Inflammatory Bowel Disease.

Published in:

Journal of Clinical Medicine, 2025, v. 14, n. 12, p. 4291, doi. 10.3390/jcm14124291

By:

Crăciun, Rareș;
Bumbu, Andreea Livia;
Ichim, Vlad Andrei;
Tanțău, Alina Ioana;
Tefas, Cristian

Publication type:

Article

AI in Medical Imaging and Image Processing.

Published in:

Journal of Clinical Medicine, 2025, v. 14, n. 12, p. 4153, doi. 10.3390/jcm14124153

By:

Nurzynska, Karolina;
Strzelecki, Michał;
Piórkowski, Adam;
Obuchowicz, Rafał

Publication type:

Article

Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma.

Published in:

European Radiology, 2025, v. 35, n. 2, p. 989, doi. 10.1007/s00330-024-10985-0

By:

Xu, Wenxin;
Zhang, Haoyan;
Zhang, Rui;
Zhong, Xian;
Li, Xiaoju;
Zhou, Wenwen;
Xie, Xiaoyan;
Wang, Kun;
Xu, Ming

Publication type:

Article

Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images.

Published in:

European Radiology, 2024, v. 34, n. 7, p. 4218, doi. 10.1007/s00330-023-10518-1

By:

Zhang, Rui;
Wei, Ying;
Wang, Denian;
Chen, Bojiang;
Sun, Huaiqiang;
Lei, Yi;
Zhou, Qing;
Luo, Zhuang;
Jiang, Li;
Qiu, Rong;
Shi, Feng;
Li, Weimin

Publication type:

Article

Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT.

Published in:

European Radiology, 2024, v. 34, n. 6, p. 3840, doi. 10.1007/s00330-023-10432-6

By:

Heo, JoonNyung;
Yoon, Youngno;
Han, Hyun Jin;
Kim, Jung-jae;
Park, Keun Young;
Kim, Byung Moon;
Kim, Dong Joon;
Kim, Young Dae;
Nam, Hyo Suk;
Lee, Seung-Koo;
Sohn, Beomseok

Publication type:

Article

Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopathological features: a retrospective dual-institutional study.

Published in:

European Radiology, 2024, v. 34, n. 5, p. 3431, doi. 10.1007/s00330-023-10306-x

By:

Lee, Taehee;
Lee, Kyung Hee;
Lee, Jong Hyuk;
Park, Samina;
Kim, Young Tae;
Goo, Jin Mo;
Kim, Hyungjin

Publication type:

Article

A deep learning framework for intracranial aneurysms automatic segmentation and detection on magnetic resonance T1 images.

Published in:

European Radiology, 2024, v. 34, n. 5, p. 2838, doi. 10.1007/s00330-023-10295-x

By:

Qu, Junda;
Niu, Hao;
Li, Yutang;
Chen, Ting;
Peng, Fei;
Xia, Jiaxiang;
He, Xiaoxin;
Xu, Boya;
Chen, Xuge;
Li, Rui;
Liu, Aihua;
Zhang, Xu;
Li, Chunlin

Publication type:

Article

Revolutionising paediatric radiology: the future impact of artificial intelligence.

Published in:

European Radiology, 2024, v. 34, n. 4, p. 2294, doi. 10.1007/s00330-023-10288-w

By:

Shelmerdine, Susan C.

Publication type:

Article

Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.

Published in:

European Radiology, 2024, v. 34, n. 3, p. 2036, doi. 10.1007/s00330-023-10135-y

By:

Lee, Heejin;
Chang, Won;
Kim, Hae Young;
Sung, Pamela;
Cho, Jungheum;
Lee, Yoon Jin;
Kim, Young Hoon

Publication type:

Article

The ecological footprint of medical AI.

Published in:

European Radiology, 2024, v. 34, n. 2, p. 1176, doi. 10.1007/s00330-023-10123-2

By:

Truhn, Daniel;
Müller-Franzes, Gustav;
Kather, Jakob Nikolas

Publication type:

Article

Deep learning enables the differentiation between early and late stages of hip avascular necrosis.

Published in:

European Radiology, 2024, v. 34, n. 2, p. 1179, doi. 10.1007/s00330-023-10104-5

By:

Klontzas, Michail E.;
Vassalou, Evangelia E.;
Spanakis, Konstantinos;
Meurer, Felix;
Woertler, Klaus;
Zibis, Aristeidis;
Marias, Kostas;
Karantanas, Apostolos H.

Publication type:

Article

Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram.

Published in:

European Radiology, 2023, v. 33, n. 12, p. 9038, doi. 10.1007/s00330-023-09953-x

By:

Xu, Ziming;
An, Chao;
Shi, Feng;
Ren, He;
Li, Yuze;
Chen, Song;
Dou, Jiaqi;
Wang, Yajie;
Yan, Shaozhen;
Lu, Jie;
Chen, Huijun

Publication type:

Article

A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients.

Published in:

European Radiology, 2023, v. 33, n. 12, p. 9347, doi. 10.1007/s00330-023-09909-1

By:

Wang, Juan;
Dong, Caixia;
Zhang, Yao-zhong;
Wang, Lirong;
Yuan, Xin;
He, Meiqing;
Xu, Songhua;
Zhou, Qi;
Jiang, Jue

Publication type:

Article

A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data.

Published in:

European Radiology, 2023, v. 33, n. 12, p. 8477, doi. 10.1007/s00330-023-09807-6

By:

Chen, Bing-Hua;
Wu, Chong-Wen;
An, Dong-Aolei;
Zhang, Ji-Lei;
Zhang, Yi-Hong;
Yu, Ling-Zhan;
Watson, Kennedy;
Wesemann, Luke;
Hu, Jiani;
Chen, Wei-Bo;
Xu, Jian-Rong;
Zhao, Lei;
Feng, ChaoLu;
Jiang, Meng;
Pu, Jun;
Wu, Lian-Ming

Publication type:

Article

Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach.

Published in:

European Radiology, 2023, v. 33, n. 10, p. 6746, doi. 10.1007/s00330-023-09668-z

By:

Mobini, Nazanin;
Codari, Marina;
Riva, Francesca;
Ienco, Maria Giovanna;
Capra, Davide;
Cozzi, Andrea;
Carriero, Serena;
Spinelli, Diana;
Trimboli, Rubina Manuela;
Baselli, Giuseppe;
Sardanelli, Francesco

Publication type:

Article

Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning.

Published in:

European Radiology, 2023, v. 33, n. 9, p. 6548, doi. 10.1007/s00330-023-09827-2

By:

Lin, Yu-Chun;
Lin, Gigin;
Pandey, Sumit;
Yeh, Chih-Hua;
Wang, Jiun-Jie;
Lin, Chien-Yu;
Ho, Tsung-Ying;
Ko, Sheung-Fat;
Ng, Shu-Hang

Publication type:

Article

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning.

Published in:

European Radiology, 2022, v. 32, n. 2, p. 745, doi. 10.1007/s00330-021-08400-z

By:

Zhou, Zijian

Publication type:

Article

Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning–based image reconstruction algorithm on CT: a phantom study.

Published in:

European Radiology, 2022, v. 32, n. 2, p. 1247, doi. 10.1007/s00330-021-08199-9

By:

Choi, Hyunsu;
Chang, Won;
Kim, Jong Hyo;
Ahn, Chulkyun;
Lee, Heejin;
Kim, Hae Young;
Cho, Jungheum;
Lee, Yoon Jin;
Kim, Young Hoon

Publication type:

Article

Deep learning to automate the labelling of head MRI datasets for computer vision applications.

Published in:

European Radiology, 2022, v. 32, n. 1, p. 725, doi. 10.1007/s00330-021-08132-0

By:

Wood, David A.;
Kafiabadi, Sina;
Al Busaidi, Aisha;
Guilhem, Emily L.;
Lynch, Jeremy;
Townend, Matthew K.;
Montvila, Antanas;
Kiik, Martin;
Siddiqui, Juveria;
Gadapa, Naveen;
Benger, Matthew D.;
Mazumder, Asif;
Barker, Gareth;
Ourselin, Sebastian;
Cole, James H.;
Booth, Thomas C.

Publication type:

Article

Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration.

Published in:

European Radiology, 2022, v. 32, n. 1, p. 384, doi. 10.1007/s00330-021-08121-3

By:

Noda, Yoshifumi;
Kawai, Nobuyuki;
Nagata, Shoma;
Nakamura, Fumihiko;
Mori, Takayuki;
Miyoshi, Toshiharu;
Suzuki, Ryosuke;
Kitahara, Fumiya;
Kato, Hiroki;
Hyodo, Fuminori;
Matsuo, Masayuki

Publication type:

Article

Delayed brain development of Rolandic epilepsy profiled by deep learning–based neuroanatomic imaging.

Published in:

European Radiology, 2021, v. 31, n. 12, p. 9628, doi. 10.1007/s00330-021-08048-9

By:

Zhang, Qirui;
He, Yan;
Qu, Taiping;
Yang, Fang;
Lin, Ying;
Hu, Zheng;
Li, Xiuli;
Xu, Qiang;
Xing, Wei;
Gumenyuk, Valentina;
Stufflebeam, Steven M.;
Liu, Hesheng;
Lu, Guangming;
Zhang, Zhiqiang

Publication type:

Article

Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps.

Published in:

European Radiology, 2021, v. 31, n. 12, p. 9012, doi. 10.1007/s00330-021-08036-z

By:

Nam, Ju Gang;
Witanto, Joseph Nathanael;
Park, Sang Joon;
Yoo, Seung Jin;
Goo, Jin Mo;
Yoon, Soon Ho

Publication type:

Article

Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-weighted FS sequence.

Published in:

European Radiology, 2021, v. 31, n. 11, p. 8447, doi. 10.1007/s00330-021-08008-3

By:

Shanbhogue, Krishna;
Tong, Angela;
Smereka, Paul;
Nickel, Dominik;
Arberet, Simon;
Anthopolos, Rebecca;
Chandarana, Hersh

Publication type:

Article

Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.

Published in:

European Radiology, 2021, v. 31, n. 11, p. 8342, doi. 10.1007/s00330-021-07952-4

By:

Parakh, Anushri;
Cao, Jinjin;
Pierce, Theodore T.;
Blake, Michael A.;
Savage, Cristy A.;
Kambadakone, Avinash R.

Publication type:

Article

Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.

Published in:

European Radiology, 2021, v. 31, n. 11, p. 8807, doi. 10.1007/s00330-021-07858-1

By:

Nowak, Sebastian;
Mesropyan, Narine;
Faron, Anton;
Block, Wolfgang;
Reuter, Martin;
Attenberger, Ulrike I.;
Luetkens, Julian A.;
Sprinkart, Alois M.

Publication type:

Article

Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.

Published in:

European Radiology, 2021, v. 31, n. 11, p. 8733, doi. 10.1007/s00330-021-07850-9

By:

Ryu, Hwaseong;
Shin, Seung Yeon;
Lee, Jae Young;
Lee, Kyoung Mu;
Kang, Hyo-jin;
Yi, Jonghyon

Publication type:

Article

Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study.

Published in:

2021

By:

Kim, Youngjune;
Oh, Dong Yul;
Chang, Won;
Kang, Eunhee;
Ye, Jong Chul;
Lee, Kyeorye;
Kim, Hae Young;
Kim, Young Hoon;
Park, Ji Hoon;
Lee, Yoon Jin;
Lee, Kyoung Ho

Publication type:

journal article

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC.

Published in:

European Radiology, 2021, v. 31, n. 9, p. 7047, doi. 10.1007/s00330-021-07803-2

By:

Kim, Dong Wook;
Lee, Gaeun;
Kim, So Yeon;
Ahn, Geunhwi;
Lee, June-Goo;
Lee, Seung Soo;
Kim, Kyung Won;
Park, Seong Ho;
Lee, Yoon Jin;
Kim, Namkug

Publication type:

Article

Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.

Published in:

2021

By:

Nam, Ju Gang;
Ahn, Chulkyun;
Choi, Hyewon;
Hong, Wonju;
Park, Jongsoo;
Kim, Jong Hyo;
Goo, Jin Mo

Publication type:

Correction Notice

Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network.

Published in:

European Radiology, 2021, v. 31, n. 8, p. 6087, doi. 10.1007/s00330-021-07714-2

By:

Haubold, Johannes;
Hosch, René;
Umutlu, Lale;
Wetter, Axel;
Haubold, Patrizia;
Radbruch, Alexander;
Forsting, Michael;
Nensa, Felix;
Koitka, Sven

Publication type:

Article

Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.

Published in:

European Radiology, 2021, v. 31, n. 8, p. 5533, doi. 10.1007/s00330-021-07712-4

By:

Nam, Ju Gang;
Hong, Jung Hee;
Kim, Da Som;
Oh, Jiseon;
Goo, Jin Mo

Publication type:

Article

Deep learning–based metal artefact reduction in PET/CT imaging.

Published in:

European Radiology, 2021, v. 31, n. 8, p. 6384, doi. 10.1007/s00330-021-07709-z

By:

Arabi, Hossein;
Zaidi, Habib

Publication type:

Article

Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver.

Published in:

European Radiology, 2021, v. 31, n. 7, p. 4981, doi. 10.1007/s00330-020-07559-1

By:

Oestmann, Paula M.;
Wang, Clinton J.;
Savic, Lynn J.;
Hamm, Charlie A.;
Stark, Sophie;
Schobert, Isabel;
Gebauer, Bernhard;
Schlachter, Todd;
Lin, MingDe;
Weinreb, Jeffrey C.;
Batra, Ramesh;
Mulligan, David;
Zhang, Xuchen;
Duncan, James S.;
Chapiro, Julius

Publication type:

Article

Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.

Published in:

2021

By:

Jiang, Meng;
Zhang, Di;
Tang, Shi-Chu;
Luo, Xiao-Mao;
Chuan, Zhi-Rui;
Lv, Wen-Zhi;
Jiang, Fan;
Ni, Xue-Jun;
Cui, Xin-Wu;
Dietrich, Christoph F.

Publication type:

journal article

Correction to: Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.

Published in:

2021

By:

Koitka, Sven;
Kroll, Lennard;
Malamutmann, Eugen;
Oezcelik, Arzu;
Nensa, Felix

Publication type:

corrected article

Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.

Published in:

European Radiology, 2021, v. 31, n. 4, p. 2559, doi. 10.1007/s00330-020-07274-x

By:

Zhang, Yang;
Chen, Jeon-Hor;
Lin, Yezhi;
Chan, Siwa;
Zhou, Jiejie;
Chow, Daniel;
Chang, Peter;
Kwong, Tiffany;
Yeh, Dah-Cherng;
Wang, Xinxin;
Parajuli, Ritesh;
Mehta, Rita S.;
Wang, Meihao;
Su, Min-Ying

Publication type:

Article

Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.

Published in:

European Radiology, 2021, v. 31, n. 4, p. 1795, doi. 10.1007/s00330-020-07147-3

By:

Koitka, Sven;
Kroll, Lennard;
Malamutmann, Eugen;
Oezcelik, Arzu;
Nensa, Felix

Publication type:

Article

Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT.

Published in:

European Radiology, 2021, v. 31, n. 2, p. 1151, doi. 10.1007/s00330-020-07213-w

By:

Hata, Akinori;
Yanagawa, Masahiro;
Yamagata, Kazuki;
Suzuki, Yuuki;
Kido, Shoji;
Kawata, Atsushi;
Doi, Shuhei;
Yoshida, Yuriko;
Miyata, Tomo;
Tsubamoto, Mitsuko;
Kikuchi, Noriko;
Tomiyama, Noriyuki

Publication type:

Article

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.

Published in:

European Radiology, 2021, v. 31, n. 1, p. 379, doi. 10.1007/s00330-020-07065-4

By:

Hiremath, Amogh;
Shiradkar, Rakesh;
Merisaari, Harri;
Prasanna, Prateek;
Ettala, Otto;
Taimen, Pekka;
Aronen, Hannu J.;
Boström, Peter J.;
Jambor, Ivan;
Madabhushi, Anant

Publication type:

Article

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

Published in:

European Radiology, 2020, v. 30, n. 12, p. 6497, doi. 10.1007/s00330-020-07024-z

By:

Feng, Bao;
Chen, XiangMeng;
Chen, YeHang;
Lu, SenLiang;
Liu, KunFeng;
Li, KunWei;
Liu, ZhuangSheng;
Hao, YiXiu;
Li, Zhi;
Zhu, ZhiBin;
Yao, Nan;
Liang, GuangYuan;
Zhang, JiaYu;
Long, WanSheng;
Liu, XueGuo

Publication type:

Article

Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning–based filter using convolutional neural network.

Published in:

European Radiology, 2020, v. 30, n. 11, p. 5923, doi. 10.1007/s00330-020-07006-1

By:

Kromrey, M.-L.;
Tamada, D.;
Johno, H.;
Funayama, S.;
Nagata, N.;
Ichikawa, S.;
Kühn, J.-P.;
Onishi, H.;
Motosugi, U.

Publication type:

Article

A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance.

Published in:

European Radiology, 2020, v. 30, n. 11, p. 5785, doi. 10.1007/s00330-020-06966-8

By:

Joo, Bio;
Ahn, Sung Soo;
Yoon, Pyeong Ho;
Bae, Sohi;
Sohn, Beomseok;
Lee, Yong Eun;
Bae, Jun Ho;
Park, Moo Sung;
Choi, Hyun Seok;
Lee, Seung-Koo

Publication type:

Article

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.

Published in:

2020

By:

Kim, Young-Gon;
Lee, Sang Min;
Lee, Kyung Hee;
Jang, Ryoungwoo;
Seo, Joon Beom;
Kim, Namkug

Publication type:

journal article

Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study.

Published in:

2020

By:

Greffier, Joël;
Hamard, Aymeric;
Pereira, Fabricio;
Barrau, Corinne;
Pasquier, Hugo;
Beregi, Jean Paul;
Frandon, Julien

Publication type:

journal article

Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.

Published in:

2020

By:

Yasaka, Koichiro;
Akai, Hiroyuki;
Kunimatsu, Akira;
Kiryu, Shigeru;
Abe, Osamu

Publication type:

journal article