58 citations · 143 across the 40 of their papers we have counts for
43 papers
HE-NAC: High-Efficiency Neural Audio Coding via Hierarchical and Residual Multi-Band Quantization
Darius Pétermann, Wootaek Lim, Seungkwon Beack +1
High-fidelity audio coding requires faithful reconstruction of perceptually important high-frequency components, which are often lost due to the aggressive temporal decimation and…
SPASHT: An image-enhancement method for sparse-view MPI SPECT
Zezhang Yang, Zitong Yu, Nuri Choi +4
Single-photon emission computed tomography for myocardial perfusion imaging (MPI SPECT) is a widely used diagnostic tool for coronary artery disease. However, the procedure require…
Progress in SPECT and PET Reconstruction for Theranostics: From Diagnosis to Therapy
Kweku Enninful, Fardeen Ahmed, Bradley Girod +4
The theranostic paradigm enables personalization of treatment by selecting patients with a diagnostic radiopharmaceutical and monitoring therapy using a matched therapeutic isotope…
Development and in silico imaging trial evaluation of a deep-learning-based transmission-less attenuation compensation method for DaT SPECT
Zitong Yu, Md Ashequr Rahman, Zekun Li +7
Quantitative measures of dopamine transporter (DaT) uptake in caudate, putamen, and globus pallidus derived from DaT-single-photon emission computed tomography (SPECT) images are b…
A detection-task-specific deep-learning method to improve the quality of sparse-view myocardial perfusion SPECT images
Zezhang Yang, Zitong Yu, Nuri Choi +1
Myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT) is a widely used and cost-effective diagnostic tool for coronary artery disease. However,…
ISIT-GEN: An in silico imaging trial to assess the inter-scanner generalizability of CTLESS for myocardial perfusion SPECT on defect-detection task
Zitong Yu, Nu Ri Choi, Zezhang Yang +3
A recently proposed scatter-window and deep learning-based attenuation compensation (AC) method for myocardial perfusion imaging (MPI) by single-photon emission computed tomography…
CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT
Zitong Yu, Md Ashequr Rahman, Craig K. Abbey +4
Attenuation compensation (AC), while being beneficial for visual-interpretation tasks in myocardial perfusion imaging (MPI) by SPECT, typically requires the availability of a separ…
Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024)
Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon +10
The 2nd SNMMI Artificial Intelligence (AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29 - March 1, 2024. Bringing together various commu…
Can patient-specific acquisition protocol improve performance on defect detection task in myocardial perfusion SPECT?
Nu Ri Choi, Md Ashequr Rahman, Zitong Yu +2
Myocardial perfusion imaging using single-photon emission computed tomography (SPECT), or myocardial perfusion SPECT (MPS) is a widely used clinical imaging modality for the diagno…
WIN-PDQ: A Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity
Zekun Li, Nadia Benabdallah, Daniel L. J. Thorek +1
SPECT can enable the quantification of activity uptake in lesions and at-risk organs in α-particle-emitting radiopharmaceutical therapies (α-RPTs). But this quantification is chall…
Observer study-based evaluation of TGAN architecture used to generate oncological PET images
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu +9
The application of computer-vision algorithms in medical imaging has increased rapidly in recent years. However, algorithm training is challenging due to limited sample sizes, lack…
Domain Decomposition Method for Poisson--Boltzmann Equations based on Solvent Excluded Surface
Abhinav Jha, Benjamin Stamm
In this paper, we develop a domain decomposition method for the nonlinear Poisson-Boltzmann equation based on a solvent-excluded surface widely used in computational chemistry. The…
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT
Md Ashequr Rahman, Zitong Yu, Richard Laforest +3
There is an important need for methods to process myocardial perfusion imaging (MPI) SPECT images acquired at lower radiation dose and/or acquisition time such that the processed i…
A list-mode multi-energy window low-count SPECT reconstruction method for isotopes with multiple emission peaks
Md Ashequr Rahman, Zekun Li, Zitong Yu +3
SPECT provides a mechanism to perform absorbed-dose quantification tasks for -particle radiopharmaceutical therapies (-RPTs). However, quantitative SPECT for -RPT is chall…
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy
Xiyao Jin, Yao Hao, Jessica Hilliard +5
To safely deploy deep learning models in the clinic, a quality assurance framework is needed for routine or continuous monitoring of input-domain shift and the models' performance…
Joint regional uptake quantification of Thorium-227 and Radium-223 using a multiple-energy-window projection-domain quantitative SPECT method
Zekun Li, Nadia Benabdallah, Richard Laforest +3
Thorium-227-based alpha-particle radiopharmaceutical therapies (α-RPTs) are being investigated in several clinical and pre-clinical studies. After administration, Thorium-227 decay…
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
Zitong Yu, Md Ashequr Rahman, Richard Laforest +5
Artificial intelligence-based methods have generated substantial interest in nuclear medicine. An area of significant interest has been using deep-learning (DL)-based approaches fo…
Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT
Zitong Yu, Md Ashequr Rahman, Craig K. Abbey +2
Attenuation compensation (AC) is beneficial for visual interpretation tasks in single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). However, tradi…
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET
Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel +1
Artificial intelligence (AI)-based methods are showing substantial promise in segmenting oncologic positron emission tomography (PET) images. For clinical translation of these meth…
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT
Md Ashequr Rahman, Zitong Yu, Barry A. Siegel +1
Deep-learning (DL)-based methods have shown significant promise in denoising myocardial perfusion SPECT images acquired at low dose. For clinical application of these methods, eval…
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat +10
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD on March 21-22, 2022. It brought together various community me…
Ideal-observer computation with anthropomorphic phantoms using Markov Chain Monte Carlo
Md Ashequr Rahman, Zitong Yu, Abhinav K. Jha
In medical imaging, it is widely recognized that image quality should be objectively evaluated based on performance in clinical tasks. To evaluate performance in signal-detection t…
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise
Ziping Liu, Zekun Li, Joyce C. Mhlanga +2
Objective evaluation of quantitative imaging (QI) methods with patient data is highly desirable, but is hindered by the lack or unreliability of an available gold standard. To addr…
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Zitong Yu, Md Ashequr Rahman, Abhinav K. Jha
Multiple objective assessment of image-quality-based studies have reported that several deep-learning-based denoising methods show limited performance on signal-detection tasks. Ou…