activity
20162023
most citedImproving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

130 citations · 279 across the 16 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV202318 cited

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Shawn Xu, Lin Yang, Christopher Kelly +25

In this work, we present an approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned image encoder combined or grafted onto…

cs.CV20231 cited

AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes

Yunhao Li, Zhen Xiao, Lin Yang +4

Multi-object tracking (MOT) is a fundamental problem in computer vision with numerous applications, such as intelligent surveillance and automated driving. Despite the significant…

quant-ph2023

Epitaxial α-Ta (110) film on a-plane sapphire substrate for superconducting qubits on wafer scale

Boyi Zhou, Lina Yang, Tao Wang +3

Realization of practical superconducting quantum computing requires many qubits of long coherence time. Compared to the commonly used Ta deposited on c-plane sapphire, which occasi…

physics.app-ph2023

Investigation of the deposition of -tantalum (110) films on a-plane sapphire substrate by molecular beam epitaxy for superconducting circuit

Haolin Jia, Boyi Zhou, Tao Wang +6

Polycrystalline α-tantalum (110) films deposited on c-plane sapphire substrate by sputtering are used in superconducting qubits nowadays. However, these films always occasionally f…

cond-mat.mtrl-sci2023

Stable and low loss oxide layer on α-Ta (110) film for superconducting qubits

Zengqian Ding, Boyi zhou, Tao Wang +5

The presence of amorphous oxide layers can significantly affect the coherent time of superconducting qubits due to their high dielectric loss. Typically, the surface oxides of supe…

eess.IV2023

MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis

Lin Yang, Shuihua Wang, Yudong Zhang

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 di…