User profiles for Walter F. Wiggins

Walter F Wiggins, MD, PhD

Duke University School of Medicine
Verified email at duke.edu
Cited by 692

A new treatment paradigm: neoadjuvant radiosurgery before surgical resection of brain metastases with analysis of local tumor recurrence

AL Asher, SH Burri, WF Wiggins, RP Kelly… - International Journal of …, 2014 - Elsevier
Purpose Resected brain metastases (BM) require radiation therapy to reduce local recurrence.
Whole brain radiation therapy (WBRT) reduces recurrence, but with potential toxicity. …

On the opportunities and risks of foundation models for natural language processing in radiology

WF Wiggins, AS Tejani - Radiology: Artificial Intelligence, 2022 - pubs.rsna.org
Ali S. Tejani, MD, is a radiology resident at the University of Texas Southwestern Medical
Center in Dallas, Tex, where he founded the Imaging Informatics and Business Intelligence …

Implementation of clinical artificial intelligence in radiology: who decides and how?

D Daye, WF Wiggins, MP Lungren, T Alkasab, N Kottler… - Radiology, 2022 - pubs.rsna.org
As the role of artificial intelligence (AI) in clinical practice evolves, governance structures
oversee the implementation, maintenance, and monitoring of clinical AI algorithms to enhance …

Preparing radiologists to lead in the era of artificial intelligence: designing and implementing a focused data science pathway for senior radiology residents

WF Wiggins, MT Caton, K Magudia… - Radiology: Artificial …, 2020 - pubs.rsna.org
Artificial intelligence and machine learning (AI-ML) have taken center stage in medical imaging.
To develop as leaders in AI-ML, radiology residents may seek a formative data science …

Duke Liver Dataset: A publicly available liver MRI dataset with liver segmentation masks and series labels

…, B Konkel, MA Mazurowski, WF Wiggins… - Radiology: Artificial …, 2023 - pubs.rsna.org
The Duke Liver Dataset contains 2146 abdominal MRI series from 105 patients, including a
majority with cirrhotic features, and 310 image series with corresponding manually …

[HTML][HTML] Head CT deep learning model is highly accurate for early infarct estimation

…, FTC Noro, WF Wiggins, MT Caton, F Kitamura… - Scientific Reports, 2023 - nature.com
Non-contrast head CT (NCCT) is extremely insensitive for early (< 3–6 h) acute infarct
identification. We developed a deep learning model that detects and delineates suspected early …

Dual-energy CT to differentiate small foci of intracranial hemorrhage from calcium

WF Wiggins, CA Potter, AD Sodickson - Radiology, 2020 - pubs.rsna.org
Background Diagnostic uncertainty in CT of possible intracranial hemorrhage requires short-interval
follow-up imaging, resulting in reduced efficiency of care and higher costs. Purpose …

Imaging AI in practice: a demonstration of future workflow using integration standards

WF Wiggins, K Magudia, TMS Schmidt… - Radiology: Artificial …, 2021 - pubs.rsna.org
Artificial intelligence (AI) tools are rapidly being developed for radiology and other clinical
areas. These tools have the potential to dramatically change clinical practice; however, for …

Three‐dimensional cinematic rendering to optimize visualization of cerebrovascular anatomy and disease in CT angiography

MT Caton Jr, WF Wiggins, D Nunez - Journal of Neuroimaging, 2020 - Wiley Online Library
Three‐dimensional cinematic rendering (3DCR) is an emerging postprocessing technique
for computed tomography (CT) and CT angiography (CTA) that produces photorealistic, …

Robotic-Assisted Trajectory Into Kambin's Triangle During Percutaneous Transforaminal Lumbar Interbody Fusion—Initial Case Series Investigating Safety and …

…, CR Goodwin, DK Gupta, WF Wiggins… - Operative …, 2021 - journals.lww.com
BACKGROUND Minimally invasive spine surgery (MISS) has the potential to further advance
with the use of robot-assisted (RA) techniques. While RA pedicle screw placement has …