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Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs

IEEE access, 2020, Vol.8, p.27318-27326

2020

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Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

PeerJ (San Francisco, CA), 2019-05, Vol.7, p.e6977-e6977, Article e6977

2019

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Novel loss functions for ensemble-based medical image classification

PloS one, 2021-12, Vol.16 (12), p.e0261307

2021

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Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs

PloS one, 2020-11, Vol.15 (11), p.e0242301-e0242301

2020

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Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

PeerJ (San Francisco, CA), 2018-04, Vol.6, p.e4568-e4568, Article e4568

2018

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Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

IEEE access, 2020-01, Vol.8, p.115041-115050

2020

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Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles

PeerJ (San Francisco, CA), 2020-03, Vol.8, p.e8693-e8693, Article e8693

2020

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Assessing Inter-Annotator Agreement for Medical Image Segmentation

IEEE access, 2023, Vol.11, p.21300-21312

2023

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Unsupervised Deep Learning Registration of Uterine Cervix Sequence Images

Cancers, 2022-05, Vol.14 (10), p.2401

2022

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Improved Semantic Segmentation of Tuberculosis-Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations

Diagnostics (Basel), 2021-03, Vol.11 (4), p.616

2021

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A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays

Diagnostics (Basel), 2022-06, Vol.12 (6), p.1442

2022

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A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs

Bioengineering (Basel), 2022-08, Vol.9 (9), p.413

2022

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Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays

Biomedicines, 2022-06, Vol.10 (6), p.1323

2022

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Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases

Data (Basel), 2022-07, Vol.7 (7), p.95

2022

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Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images

Journal of medical imaging (Bellingham, Wash.), 2018-07, Vol.5 (3), p.034501-034501

2018

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Recent trends in image processing and pattern recognition

Multimedia tools and applications, 2020-12, Vol.79 (47-48), p.34697-34699

2020

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Data Characterization for Reliable AI in Medicine

Recent Trends in Image Processing and Pattern Recognition, p.3-11

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Multimodal biomedical image indexing and retrieval using descriptive text and global feature mapping

Information retrieval (Boston), 2014-06, Vol.17 (3), p.229-264

2014

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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening

JNCI : Journal of the National Cancer Institute, 2019-09, Vol.111 (9), p.923-932

2019

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Multimodal biomedical image retrieval using hierarchical classification and modality fusion

International journal of multimedia information retrieval, 2013-09, Vol.2 (3), p.159-173

2013

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Using relevance feedback with short-term memory for content-based spine X-ray image retrieval

Neurocomputing (Amsterdam), 2009-06, Vol.72 (10), p.2259-2269

2009

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Interactive cross and multimodal biomedical image retrieval based on automatic region-of-interest (ROI) identification and classification

International journal of multimedia information retrieval, 2014-09, Vol.3 (3), p.131-146

2014

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Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

1, 2022

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Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval

Journal of medical imaging (Bellingham, Wash.), 2015-10, Vol.2 (4), p.046502-046502

2015

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Towards the creation of a visual ontology of biomedical imaging entities

AMIA ... Annual Symposium proceedings, 2012, Vol.2012, p.866-875

2012

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Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

Novel loss functions for ensemble-based medical image classification

Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs

Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles

Assessing Inter-Annotator Agreement for Medical Image Segmentation

Unsupervised Deep Learning Registration of Uterine Cervix Sequence Images

Improved Semantic Segmentation of Tuberculosis-Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations

A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays

A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs

Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays

Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases

Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images

Recent trends in image processing and pattern recognition

Data Characterization for Reliable AI in Medicine

Multimodal biomedical image indexing and retrieval using descriptive text and global feature mapping

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening

Multimodal biomedical image retrieval using hierarchical classification and modality fusion

Using relevance feedback with short-term memory for content-based spine X-ray image retrieval

Interactive cross and multimodal biomedical image retrieval based on automatic region-of-interest (ROI) identification and classification

Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval

Towards the creation of a visual ontology of biomedical imaging entities

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