Making the most of bioimaging data through interdisciplinary interactions

V Uhlmann, M Hartley, J Moore… - Journal of Cell …, 2024 - journals.biologists.com
The increasing technical complexity of all aspects involving bioimages, ranging from their
acquisition to their analysis, has led to a diversification in the expertise of scientists engaged …

[HTML][HTML] New orientation of interdisciplinarity in medicine: engineering medicine

J Wu, N Gu - Engineering, 2024 - Elsevier
The trajectory of human history is characterized by a persistent battle against disease. Over
time, the field of medicine has transitioned from enigmatic witch doctors and herbal …

PET‐Based Dual‐Modal Probes for In Vivo Imaging

R Zhao, D Lan, B **a, MJ Dong, J Mu, Y Zhao - Small, 2025 - Wiley Online Library
Molecular imaging has significantly advanced the detection and analysis of in vivo metabolic
processes, while single‐modal techniques remain limited. Dual‐modal imaging, particularly …

Spatio-temporal collaborative multiple-stream transformer network for liver lesion classification on multiple-sequence magnetic resonance imaging

S Huang, Z Hong, B Wu, J Liang, Q Huang - Engineering Applications of …, 2025 - Elsevier
Accurate identification of focal liver lesions is essential for determining the appropriate
therapeutic approach in clinical practice. Magnetic resonance imaging (MRI) is a valuable …

Introducing npj Imaging: a new journal to serve the bio-and medical imaging communities

TH Witney - npj Imaging, 2024 - nature.com
Check for updates The ability to see inside the living human body and image the function of
cells within it has revolutionised our understanding of disease. From magnetic resonance …

Complementary Reflectance and Carbon Dots Fluorescence Imaging Using Endoscopic Scanner

YS Leong, MHA Bakar, MHH Mokhtar… - 2024 16th …, 2024 - ieeexplore.ieee.org
Endoscopic imaging plays a crucial role in biomedical research, offering insights into
biological structures and chemical processes. In this study, we present a fibre pair cantilever …

Deep Learning for Histopathological Image Analysis

P Don Simonge - 2024 - unsworks.unsw.edu.au
Histopathological images serve as a gold standard tool in medical diagnosis, prognosis, and
treatment planning. With the advent of digitised imaging techniques, clinical pathologists are …