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07/29/2023
A 3D deep learning classifier and its explainability when assessing coronary artery disease
Early detection and diagnosis of coronary artery disease (CAD) could sav...
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12/24/2022
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
Abstractive dialogue summarization has long been viewed as an important ...
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03/30/2022
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning
Lung cancer is the leading cause of cancer-related mortality worldwide. ...
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12/16/2021
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Factual inconsistencies in generated summaries severely limit the practi...
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10/08/2021
Is MC Dropout Bayesian?
MC Dropout is a mainstream "free lunch" method in medical imaging for ap...
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08/11/2021
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
Using publicly available data to determine the performance of methodolog...
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08/10/2021
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Convolutional Neural Networks (CNNs) are widely used for image classific...
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07/31/2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
Datasets are rarely a realistic approximation of the target population. ...
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06/28/2019
