output
19972025
most citedDeep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

919 citations

57 papers

eess.IV2025★ 2 cited

A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography

Yui Lo, Yuqian Chen, Dongnan Liu +8

Shape measures have emerged as promising descriptors of white matter tractography, offering complementary insights into anatomical variability and associations with cognitive and c…

physics.app-ph2024★ 11 cited

Optical Coherence Elastography Measures Mechanical Tension in the Lens and Capsule

Xu Feng, Guo-yang Li, Yuxuan Jiang +2

Lens tension is essential for accommodative vision but remains difficult to measure with precision. Here, we present an optical coherence elastography (OCE) technique that quantifi…

q-bio.NC2024★ 14 cited

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study

Yui Lo, Yuqian Chen, Dongnan Liu +9

The shape of the brain's white matter connections is relatively unexplored in diffusion MRI tractography analysis. While it is known that tract shape varies in populations and acro…

q-bio.QM2024

MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles

Hiba Kobeissi, Xining Gao, Samuel J. DePalma +8

Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. Howeve…

eess.SP2023★ 15 cited

Detecting QT prolongation From a Single-lead ECG With Deep Learning

Ridwan Alam, Aaron Aguirre, Collin Stultz

For a number of antiarrhythmics, drug loading requires a 3 day hospitalization with monitoring for QT prolongation. Automated QT monitoring with wearable ECG monitors would facilit…

eess.IV2023★ 334 cited

Artificial Intelligence for Digital and Computational Pathology

Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson +4

Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology. This field…