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09/20/2023
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
Model initialization techniques are vital for improving the performance ...
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09/18/2023
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
Deep learning (DL) has demonstrated its innate capacity to independently...
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01/10/2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
Deep learning (DL) models are becoming state-of-the-art in segmenting an...
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11/04/2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
Lung segmentation in chest X-rays (CXRs) is an important prerequisite fo...
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06/13/2022
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs
Automated segmentation of tuberculosis (TB)-consistent lesions in chest ...
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11/05/2021
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
Chest X-ray (CXR) is a widely performed radiology examination that helps...
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09/29/2021
Multi-loss ensemble deep learning for chest X-ray classification
Class imbalance is common in medical image classification tasks, where t...
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09/29/2021
Does deep learning model calibration improve performance in class-imbalanced medical image classification?
In medical image classification tasks, it is common to find that the num...
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04/09/2021
Improved TB classification using bone-suppressed chest radiographs
Chest X-rays (CXRs) are the most commonly performed diagnostic examinati...
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02/21/2021
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization
Deep learning (DL) has drawn tremendous attention in object localization...
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06/19/2020
Unified Representation Learning for Efficient Medical Image Analysis
Medical image analysis typically includes several tasks such as image en...
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04/16/2020
