[HTML][HTML] Scholl reaction as a powerful tool for the synthesis of nanographenes: a systematic review

RS Jassas, EU Mughal, A Sadiq, RI Alsantali… - RSC …, 2021 - pubs.rsc.org
Nanographenes, or extended polycyclic aromatic hydrocarbons, have been attracting
increasing attention owing to their widespread applications in organic electronics. However …

The distance between phosphate‐based polyanionic compounds and their practical application for sodium‐ion batteries

Z Hao, X Shi, Z Yang, X Zhou, L Li, CQ Ma… - Advanced …, 2024 - Wiley Online Library
Sodium‐ion batteries (SIBs) are a viable alternative to meet the requirements of future large‐
scale energy storage systems due to the uniform distribution and abundant sodium …

ChatGPT and other large language models are double-edged swords

Y Shen, L Heacock, J Elias, KD Hentel, B Reig, G Shih… - Radiology, 2023 - pubs.rsna.org
rules integrated into its technology. Additionally, users must carefully craft questions or
prompts, providing specific information about a clinical scenario and potential …

Clip-driven universal model for organ segmentation and tumor detection

J Liu, Y Zhang, JN Chen, J Xiao, Y Lu… - Proceedings of the …, 2023 - openaccess.thecvf.com
An increasing number of public datasets have shown a marked impact on automated organ
segmentation and tumor detection. However, due to the small size and partially labeled …

Improving breast cancer diagnostics with deep learning for MRI

J Witowski, L Heacock, B Reig, SK Kang… - Science translational …, 2022 - science.org
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has a high sensitivity
in detecting breast cancer but often leads to unnecessary biopsies and patient workup. We …

A review of deep learning applications in lung ultrasound imaging of COVID-19 patients

L Zhao, MAL Bell - BME frontiers, 2022 - spj.science.org
The massive and continuous spread of COVID-19 has motivated researchers around the
world to intensely explore, understand, and develop new techniques for diagnosis and …

[HTML][HTML] Self-healing of structured light: a review

Y Shen, S Pidishety, I Nape, A Dudley - Journal of Optics, 2022 - iopscience.iop.org
Self-healing of light refers to the ability of a light field to recover its structure after being
damaged by a partial obstruction placed in its propagation path. Here, we will give a …

Hover-trans: Anatomy-aware hover-transformer for roi-free breast cancer diagnosis in ultrasound images

Y Mo, C Han, Y Liu, M Liu, Z Shi, J Lin… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Ultrasonography is an important routine examination for breast cancer diagnosis, due to its
non-invasive, radiation-free and low-cost properties. However, the diagnostic accuracy of …

Multiple instance learning via iterative self-paced supervised contrastive learning

K Liu, W Zhu, Y Shen, S Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Learning representations for individual instances when only bag-level labels are available is
a fundamental challenge in multiple instance learning (MIL). Recent works have shown …

[HTML][HTML] Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced …

T Zheng, F Lin, X Li, T Chu, J Gao, S Zhang, Z Li… - …, 2023 - thelancet.com
Background Breast cancer is the leading cause of cancer-related deaths in women.
However, accurate diagnosis of breast cancer using medical images heavily relies on the …