[HTML][HTML] Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis—A comprehensive review
Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in
establishing trustable AI for bench-to-bedside translation, with substantial implications for …
establishing trustable AI for bench-to-bedside translation, with substantial implications for …
[HTML][HTML] The past, present, and future role of artificial intelligence in ventilation/perfusion scintigraphy: a systematic review
Ventilation-perfusion (V/Q) lung scans constitute one of the oldest nuclear medicine
procedures, remain one of the few studies performed in the acute setting, and are amongst …
procedures, remain one of the few studies performed in the acute setting, and are amongst …
[HTML][HTML] Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept
Summary [18 F] Fluorodeoxyglucose positron emission tomography (FDG-PET) and
computed tomography (CT) are indispensable components in modern medicine. Although …
computed tomography (CT) are indispensable components in modern medicine. Although …
PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation
JR Astley, AM Biancardi, H Marshall, LJ Smith… - Scientific Reports, 2023 - nature.com
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable
visualization and quantification of regional lung ventilation; however, these techniques …
visualization and quantification of regional lung ventilation; however, these techniques …
A hybrid model‐and deep learning‐based framework for functional lung image synthesis from multi‐inflation CT and hyperpolarized gas MRI
JR Astley, AM Biancardi, H Marshall… - Medical …, 2023 - Wiley Online Library
Background Hyperpolarized gas MRI is a functional lung imaging modality capable of
visualizing regional lung ventilation with exceptional detail within a single breath. However …
visualizing regional lung ventilation with exceptional detail within a single breath. However …
[HTML][HTML] Incorporating functional lung imaging (FLI) into radiation therapy planning in patients with lung cancer: A systematic review and meta-analysis
Purpose To provide an understanding of current FLI techniques, and their potential to
improve dosimetry and outcomes for lung cancer patients receiving radiation therapy (RT) …
improve dosimetry and outcomes for lung cancer patients receiving radiation therapy (RT) …
Lung Cancer Detection Using Deep Learning and Explainable Methods
Lung cancer is one of the most prevalent deadly diseases and it can extend to the rest of the
human body. One way to detect it in CT scan images is by using deep learning models …
human body. One way to detect it in CT scan images is by using deep learning models …
[PDF][PDF] Amir Jabbarpour, MSc,* Siraj Ghassel, BSc, Jochen Lang, PhD, Eugene Leung, MD, z
Ventilation-perfusion (V/Q) scans constitute one of the oldest studies in nuclear medicine,
dating as far back as the 1960s. 1, 2 While lung scintigraphy can serve to evaluate lung …
dating as far back as the 1960s. 1, 2 While lung scintigraphy can serve to evaluate lung …