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COVID answers in Scientific Journals all over the world


29 Results       Page 1

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Elsevier: Medical Image Analysis
  original article Date Title Authors   All Authors
1 [GO] 2025―Apr―19 CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images Yijie Dang, Weijun Ma, Xiaohu Luo, Huaizhu Wang
2 [GO] 2024―Jun―05 The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, et al. (+32)
3 [GO] 2023―Mar―21 PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed
4 [GO] 2023―Feb―16 Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
5 [GO] 2022―Dec―15 Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning Yanda Meng, Joshua Bridge, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, et al. (+8)
6 [GO] 2022―Sep―06 Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge Holger R. Roth, Ziyue Xu, Carlos Tor Diez, Ramon Sanchez Jacob, Jonathan Zember, Jose Molto, et al. (+30)
7 [GO] 2022―Aug―24 Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, et al. (+2)
8 [GO] 2022―Apr―22 SSA-Net: Spatial Self-Attention Network for COVID-19 Pneumonia Infection Segmentation with Semi-supervised Few-shot Learning Xiaoyan Wang, Yiwen Yuan, Dongyan Guo, Xiaojie Huang, Ying Cui, Ming Xia, et al. (+3)
9 [GO] 2021―Nov―04 Multi-task Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, et al. (+3)
10 [GO] 2021―Sep―28 Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Andreas Dominik Husch
11 [GO] 2021―Aug―28 AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Paolo Soda, Natascha Claudia D’Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, et al. (+22)
12 [GO] 2021―Aug―06 COVID-19 Lung Infection Segmentation with A Novel Two-Stage Cross-Domain Transfer Learning Framework Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Dengping Fan, Jiquan Ma, Geng Chen
13 [GO] 2021―Jul―11 Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Toru Hironaka, Tohru Kamiya, Hiroyuki Yoshida
14 [GO] 2021―May―24 Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
15 [GO] 2021―May―12 Deep learning for predicting COVID-19 malignant progression Cong Fang, Song Bai, Qianlan Chen, Yu Zhou, Liming Xia, Lixin Qin, et al. (+9)
16 [GO] 2021―Apr―21 Special Issue on Intelligent Analysis of COVID-19 Imaging Data
17 [GO] 2021―Apr―02 CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan Blokhin, et al. (+5)
18 [GO] 2021―Mar―31 BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, et al. (+5)
19 [GO] 2021―Feb―07 Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19 Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyungsang Kim, Younggon Kim, et al. (+14)
20 [GO] 2021―Feb―05 A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, et al. (+6)
21 [GO] 2021―Jan―20 Modality Alignment Contrastive Learning for Severity Assessment of COVID-19 from Lung Ultrasound and Clinical Information Wufeng Xue, Chunyan Cao, Jie Liu, Yilian Duan, Haiyan Cao, Jian Wang, et al. (+19)
22 [GO] 2020―Nov―26 Hypergraph Learning for Identification of COVID-19 with CT Imaging Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, et al. (+10)
23 [GO] 2020―Nov―26 COVID-AL: The Diagnosis of COVID-19 with Deep Active Learning Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi
24 [GO] 2020―Oct―15 AI-Driven quantification, staging and outcome prediction of COVID-19 pneumonia Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, et al. (+29)
25 [GO] 2020―Oct―13 Integrative analysis for COVID-19 patient outcome prediction Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara D. Arru, Subba R. Digumarthy, et al. (+10)
26 [GO] 2020―Oct―10 Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, et al. (+6)
27 [GO] 2020―Oct―08 Dual-branch combination network (DCN): towards accurate diagnosis and lesion segmentation of COVID-19 using CT images Kai Gao, Jianpo Su, Zhongbiao Jiang, Ling-Li Zeng, Zhichao Feng, Hui Shen, et al. (+6)
28 [GO] 2020―Aug―19 Position paper on COVID-19 imaging and AI: from the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare Hayit Greenspan, Raúl San José Estépar, Wiro J. Niessen, Eliot Siegel, Mads Nielsen
29 [GO] 2020―Jul―21 Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi
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29 Results       Page 1


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