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cs.CV2024
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data
Zhusi Zhong, Helen Zhang, Fayez H. Fayad +12
Purpose: Pulmonary embolism (PE) is a significant cause of mortality in the United States. The objective of this study is to implement deep learning (DL) models using Computed Tomo…
cs.CV2024
MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model
Ziqi Ren, Jie Li, Xuetong Xue +4
Deciphering the human visual experience through brain activities captured by fMRI represents a compelling and cutting-edge challenge in the field of neuroscience research. Compared…
cs.CV2024
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19
Zhusi Zhong, Jie Li, Zhuoqi Ma +7
The COVID-19 pandemic has strained global public health, necessitating accurate diagnosis and intervention to control disease spread and reduce mortality rates. This paper introduc…