Diffuse optical tomography (DOT) is a promising technique that provides functional
information related to tumor angiogenesis. However, reconstructing the DOT function map of …

Fast and low-dose reconstructions of medical images are highly desired in clinical routines.
We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework …

Computed Tomography (CT) is an essential imaging tool for medical inspection, diagnosis
and prevention. While X-rays CT is a consolidated technology, there is nowadays a strong …

Breast cancer patients undergoing neoadjuvant chemotherapy (NAC) require precise and
accurate evaluation of treatment response. Residual cancer burden (RCB) is a prognostic …

Significance Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated
great potential for breast cancer diagnosis in which real-time or near real-time diagnosis …

Ultrasound (US)-guided diffuse optical tomography (DOT) is a portable and non-invasive
imaging modality for breast cancer diagnosis and treatment response monitoring. However …

Tobacco classification is a challenging research topic and plays a crucial role in the process
of cigarette production. Tobacco classification mainly relies on manual selection, which is …

Novel portable diffuse optical tomography (DOT) devices for breast cancer lesions hold
great promise for non-invasive, non-ionizing breast cancer screening. Critical to this …

Significance The machine learning (ML) approach plays a critical role in assessing
biomedical imaging processes especially optical imaging (OI) including segmentation …

This article proposes a method that combines the alternating direction method of multipliers
(ADMMs) algorithm with neural networks based on the compressed sensing principle to …