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Publication search results
found 37 matches
- 2023
- 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. Artif. Intell. Medicine 143: 102616 (2023) - 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. Artif. Intell. Medicine 143: 102630 (2023) - Laurenz Berger, Max Haberbusch, Francesco Moscato:
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges. Artif. Intell. Medicine 143: 102632 (2023) - Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria:
Learnable DoG convolutional filters for microcalcification detection. Artif. Intell. Medicine 143: 102629 (2023) - Ander Cejudo, Arantza Casillas, Alicia Pérez, Maite Oronoz, Daniel Cobos:
Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic? Artif. Intell. Medicine 143: 102622 (2023) - Tommaso Ciceri, Letizia Squarcina, Alice Giubergia, Alessandra Bertoldo, Paolo Brambilla, Denis Peruzzo:
Review on deep learning fetal brain segmentation from Magnetic Resonance images. Artif. Intell. Medicine 143: 102608 (2023) - 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. Artif. Intell. Medicine 143: 102628 (2023) - Ahmed Hamed, Marwa F. Mohamed:
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm. Artif. Intell. Medicine 143: 102605 (2023) - 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. Artif. Intell. Medicine 143: 102609 (2023) - 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. Artif. Intell. Medicine 143: 102569 (2023) - Livia Jakaite, Vitaly Schetinin:
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction. Artif. Intell. Medicine 143: 102634 (2023) - Ali Jazayeri, Christopher C. Yang, Muge Capan:
Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis. Artif. Intell. Medicine 143: 102576 (2023) - Matti Kaisti, Juho Laitala, David Wong, Antti Airola:
Domain randomization using synthetic electrocardiograms for training neural networks. Artif. Intell. Medicine 143: 102583 (2023) - Jeongmin Lee, Milos Hauskrecht:
Personalized event prediction for Electronic Health Records. Artif. Intell. Medicine 143: 102620 (2023) - Zhihong Lin, Donghao Zhang, Qingyi Tao, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge:
Medical visual question answering: A survey. Artif. Intell. Medicine 143: 102611 (2023) - Sree Jagadeesh Malla, Kranthi Kumar Lella, P. J. A. Alphonse:
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets. Artif. Intell. Medicine 143: 102627 (2023) - 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. Artif. Intell. Medicine 143: 102610 (2023) - 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. Artif. Intell. Medicine 143: 102625 (2023) - 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. Artif. Intell. Medicine 143: 102619 (2023) - Arnau Quindós, Pablo Laiz, Jordi Vitrià, Santi Seguí:
Self-supervised out-of-distribution detection in wireless capsule endoscopy images. Artif. Intell. Medicine 143: 102606 (2023) - Asmaa H. Rabie, Ahmed I. Saleh:
Monkeypox diagnosis using ensemble classification. Artif. Intell. Medicine 143: 102618 (2023) - Hemalatha S., Maria Anu V.:
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction. Artif. Intell. Medicine 143: 102621 (2023) - 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. Artif. Intell. Medicine 143: 102612 (2023) - J. Sivamurugan, G. Sureshkumar:
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images. Artif. Intell. Medicine 143: 102626 (2023) - Mengxuan Sun, Jinghao Niu, Xuebing Yang, Yifan Gu, Wensheng Zhang:
CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation. Artif. Intell. Medicine 143: 102613 (2023) - Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy:
A general text mining method to extract echocardiography measurement results from echocardiography documents. Artif. Intell. Medicine 143: 102584 (2023) - Annette ten Teije, Mar Marcos, Jose M. Juarez:
In Memoriam David Riaño, 1968-2022. Artif. Intell. Medicine 143: 102623 (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. Artif. Intell. Medicine 143: 102545 (2023) - Antonio Manuel Trasierras, José María Luna, Sebastián Ventura:
A contrast set mining based approach for cancer subtype analysis. Artif. Intell. Medicine 143: 102590 (2023) - 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. Artif. Intell. Medicine 143: 102617 (2023)
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