output
20182025
most citedCan Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

427 citations

5 papers

stat.AP2025★ 1 cited

Incorporating Naive Bayes Classification to Address Subpopulation Structure in Familial DNA Search

Akaraphon Jantaraphum, Chanagarn Laoiam, Budsaba Rerkamnuaychoke +2

Familial DNA search evaluates the genetic relatedness of two individuals by comparing the likelihood of their observed DNA profiles under two competing hypotheses-the null hypothes…

cs.LG2023★ 2 cited

ICTSurF: Implicit Continuous-Time Survival Functions with Neural Networks

Chanon Puttanawarut, Panu Looareesuwan, Romen Samuel Wabina +1

Survival analysis is a widely known method for predicting the likelihood of an event over time. The challenge of dealing with censored samples still remains. Traditional methods, s…

cs.CV2021★ 4 cited

Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach

Benjaphan Sommana, Ukrit Watchareeruetai, Ankush Ganguly +4

During the SARS-Cov-2 pandemic, mask-wearing became an effective tool to prevent spreading and contracting the virus. The ability to monitor the mask-wearing rate in the population…

eess.IV2019★ 43 cited

Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial

Theerasarn Pianpanit, Sermkiat Lolak, Phattarapong Sawangjai +2

In the past few years, there are several researches on Parkinson's disease (PD) recognition using single-photon emission computed tomography (SPECT) images with deep learning (DL)…

cs.CV2018★ 427 cited

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

Hongming Shan, Atul Padole, Fatemeh Homayounieh +5

Commercial iterative reconstruction techniques on modern CT scanners target radiation dose reduction but there are lingering concerns over their impact on image appearance and low…