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https://doi.org/10.2139/ssrn.4658116

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inferredcites →https://doi.org/10.1007/978-3-030-32248-9_20openalex-extracted
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation
inferredcites →https://doi.org/10.1016/j.media.2020.101767openalex-extracted
Weakly supervised object detection with 2D and 3D regression neural networks
inferredcites →https://doi.org/10.1016/j.oooo.2019.11.007openalex-extracted
Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs
inferredcites →https://doi.org/10.1023/b:vlsi.0000028532.53893.82openalex-extracted
Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr.2017.545openalex-extracted
Weakly Supervised Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00960openalex-extracted
Tell Me Where to Look: Guided Attention Inference Network
inferredcites →https://doi.org/10.1109/cvprw.2009.5206848openalex-extracted
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-extracted
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-extracted
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/icip.2017.8296646openalex-extracted
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
inferredcites →https://doi.org/10.1109/tmi.2020.2995965openalex-extracted
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
inferredcites →https://doi.org/10.1109/tnnls.2022.3152527openalex-extracted
Learning From Noisy Labels With Deep Neural Networks: A Survey
inferredcites →https://doi.org/10.1259/dmfr.20200171openalex-extracted
Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs
inferredcites →https://doi.org/10.1259/dmfr.20230007openalex-extracted
Refinement of image quality in panoramic radiography using a generative adversarial network
inferredcites →https://doi.org/10.1371/journal.pone.0254997openalex-extracted
Deep learning neural networks to differentiate Stafne’s bone cavity from pathological radiolucent lesions of the mandible in heterogeneous panoramic radiography
inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-extracted
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.6596openalex-extracted
Training Deep Neural Networks on Noisy Labels with Bootstrapping
inferredcites →https://doi.org/10.48550/arxiv.1802.10171openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1902.09063openalex-extracted
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
inferredcites →https://doi.org/10.5624/isd.2011.41.1.1openalex-extracted
Assessment of panoramic radiography as a national oral examination tool: review of the literature
inferredcites →https://doi.org/10.5624/isd.2020.50.1.53openalex-extracted
Incidental findings in a consecutive series of digital panoramic radiographs
inferredcites →https://doi.org/10.5624/isd.20220078openalex-extracted
Deep learning-based apical lesion segmentation from panoramic radiographs
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