Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDArtificial Intelligence in Medicine, Volume 143
Volume 143, September 2023
- Juan Manuel Mayor Torres
, Sara E. Medina-DeVilliers, Tessa Clarkson, Matthew D. Lerner, Giuseppe Riccardi:
Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism. 102545 - Eugene Hwang, Hee-Sun Park, Hyun-Seok Kim, Jin-Young Kim, Hanseok Jeong, Junetae Kim, Sung-Hoon Kim:
Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm. 102569 - Ali Jazayeri, Christopher C. Yang, Muge Capan:
Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis. 102576 - Matti Kaisti, Juho Laitala, David Wong, Antti Airola:
Domain randomization using synthetic electrocardiograms for training neural networks. 102583 - Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy:
A general text mining method to extract echocardiography measurement results from echocardiography documents. 102584
- Tanwei Yuan, Dominic Edelmann, Ziwen Fan, Elizabeth Alwers, Jakob Nikolas Kather, Hermann Brenner, Michael Hoffmeister:
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies. 102589
- Antonio Manuel Trasierras, José María Luna, Sebastián Ventura:
A contrast set mining based approach for cancer subtype analysis. 102590 - Daiki Yokokawa, Kazutaka Noda, Takanori Uehara, Yasutaka Yanagita, Yoshiyuki Ohira, Masatomi Ikusaka:
Do Japanese word-embedded representations obtained in the academic corpus retain the medical concepts of "infarction"? 102604 - Ahmed Hamed, Marwa F. Mohamed:
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm. 102605 - Arnau Quindós, Pablo Laiz, Jordi Vitrià, Santi Seguí:
Self-supervised out-of-distribution detection in wireless capsule endoscopy images. 102606 - Alexander G. Yearley, Caroline M. W. Goedmakers, Armon Panahi, Joanne Doucette, Aakanksha Rana, Kavitha Ranganathan, Timothy R. Smith:
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval. 102607
- Tommaso Ciceri, Letizia Squarcina, Alice Giubergia, Alessandra Bertoldo, Paolo Brambilla, Denis Peruzzo:
Review on deep learning fetal brain segmentation from Magnetic Resonance images. 102608
- Zhenxing Huang, Wenbo Li, Yunling Wang, Zhou Liu, Qiyang Zhang, Yuxi Jin, Ruodai Wu, Guotao Quan, Dong Liang, Zhanli Hu, Na Zhang:
MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. 102609 - Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton:
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. 102610
- Zhihong Lin, Donghao Zhang, Qingyi Tao, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge:
Medical visual question answering: A survey. 102611
- Pablo P. e Silva, Wyctor F. da Rocha, Luiza E. V. N. Mazzoni, Rafhael M. De Andrade, Antônio Bento, Mariana Rampinelli, Douglas Almonfrey:
A diagnostic room for lower limb amputee based on virtual reality and an intelligent space. 102612 - Mengxuan Sun, Jinghao Niu, Xuebing Yang, Yifan Gu, Wensheng Zhang:
CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation. 102613 - Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss:
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare. 102616
- Tiwalade Modupe Usman, Yakub Kayode Saheed, Augustine Nsang, Abel Ajibesin, Sandip Rakshit:
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression. 102617
- Asmaa H. Rabie, Ahmed I. Saleh:
Monkeypox diagnosis using ensemble classification. 102618 - Nicolas Pilia, Steffen Schuler, Maike Rees, Gerald Moik, Danila Potyagaylo, Olaf Dössel, Axel Loewe:
Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning. 102619 - Jeongmin Lee, Milos Hauskrecht:
Personalized event prediction for Electronic Health Records. 102620 - Hemalatha S., Maria Anu V.:
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction. 102621 - Ander Cejudo, Arantza Casillas, Alicia Pérez, Maite Oronoz, Daniel Cobos:
Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic? 102622
- Annette ten Teije, Mar Marcos, Jose M. Juarez:
In Memoriam David Riaño, 1968-2022. 102623
- Maryam Zolnoori, Ali Zolnour, Maxim Topaz:
ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia. 102624 - Oswaldo Solarte Pabón, Orlando Montenegro, Alvaro Garcia-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles:
Transformers for extracting breast cancer information from Spanish clinical narratives. 102625 - J. Sivamurugan, G. Sureshkumar:
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images. 102626 - Sree Jagadeesh Malla, Kranthi Kumar Lella, P. J. A. Alphonse:
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets. 102627 - Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz Minhas, Jan Lukas Robertus:
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. 102628 - Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria:
Learnable DoG convolutional filters for microcalcification detection. 102629 - Patricia Amado-Caballero, Pablo Casaseca-de-la-Higuera, Susana Alberola-Lopez, Jesus Maria Andres-de-Llano, Jose Antonio Lopez-Villalobos, Carlos Alberola-López:
Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups. 102630
- Francesca Zerbato, Luise Pufahl, Annette ten Teije:
Preface: Special Issue on Knowledge Representation and Reasoning for Healthcare Processes. 102631
- Laurenz Berger, Max Haberbusch, Francesco Moscato:
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges. 102632
- Livia Jakaite, Vitaly Schetinin:
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction. 102634 - Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. 102637 - Linyan Xue, Geng Qin, Shilong Chang, Cheng Luo, Ya Hou, Zhiyin Xia, Jiacheng Yuan, Yucheng Wang, Shuang Liu, Kun Liu, Xiaoting Li, Sibei Wu, Qingliang Zhao, Wenshan Gao, Kun Yang:
Osteoporosis prediction in lumbar spine X-ray images using the multi-scale weighted fusion contextual transformer network. 102639
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-05-14 21:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
