Our research is regularly featured in different news outlets including NIBIB Science Highlights, Radiology Business, Aunt Minnie, Diagnostic Imaging, HealthImaging, Parkinson’s News Today and Applied Radiology and Imaging Wire. Some press releases below.
Coverage of work on CTLESS
Diagnostic Imaging: Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Newswise: Deep Learning to Increase Accessibility, Ease of Heart Imaging
Science Daily: Deep learning to increase accessibility, ease of heart imaging
Medical Express: Deep learning could increase the accessibility and ease of heart imaging
Axis Imaging: A new deep learning technique could eliminate the need for additional CT scans in myocardial perfusion imaging
Newsgram: Deep Learning to Increase Accessibility, Ease of Heart Imaging
News-Medical: New deep learning method could revolutionize heart health monitoring
The Munich Eye: Revolutionizing Heart Imaging: Deep Learning Enhances Accessibility
EurekaAlert: Deep learning to increase accessibility, ease of heart imaging
MSN: Deep learning could increase the accessibility and ease of heart imaging
Improving the imaging for coronary artery disease
Coverage of our work on AI-based noise reduction and AI evaluation
Researchers develop improved techniques for medical imaging
AI-Based “Denoising” in Medical Imaging May Require Further Evaluation
Medical Imaging with AI, Clinical Utility, Not ‘Prettiness’
AI-based denoising in medical imaging may require further evaluation
Useful not pretty: How AI can improve medical imaging
Best practices could help AI deployment in nuclear medicine
Evaluation of AI for medical imaging: A key requirement for clinical translation
Framework for evaluating AI-based medical imaging method outlined
List-mode imaging
Jha Honored with National Science Foundation CAREER Award
Jha wins NSF CAREER award for imaging research
Pushing the boundaries of the visible world
Quantitative imaging for theranostics
Imaging technique may measure absorbed dose from radiation therapy
Novel SPECT imaging method may measure absorbed dose from radiation therapy
Imaging technique may measure absorbed dose from radiation therapy
Novel SPECT imaging technique may measure absorbed dose from radiation therapy
SPECT technique might measure absorbed tissue dose from radiation therapy
Engineers develop new way to use low-count imaging for effective radiopharmaceutical therapy
Spot the difference: Distinguishing real from fake in the age of synthetic images
Awards received by lab trainees
Doctoral students earn awards at SPIE conference
Doctoral student wins SNMMI grant
Doctoral student wins SNMMI grant to study novel imaging methods
Image-segmentation methods for PET images of patients with lung cancer
Jha’s NIH grant to support cancer research
Statistical theory, deep learning, lead to novel approach to differentiate tumors
Physics, AI help researchers to better define tumor boundaries in imaging
Jha and collaborators develop framework to determine tumor boundaries in PET scans
Personalized medicine for lung cancer gets closer look
Jha to develop imaging methods with $1.8M NIH grant
NIBIB: Deep learning improves interpretation of tumors
From mathematical concept to a clinical tool
Coverage of our work on developing imaging biomarkers for Parkinson disease
Dopamine Transporter in Brain May One Day Tell Parkinson’s Severity
Biomarkers for Parkinson’s disease sought through imaging
Ethics of AI
WashU Expert: Patients want AI, doctors to work together
Dialing in Patient Attitudes: The Ethics of AI in Medical Decision-making