Bari Dane

ORCID: 0000-0003-2205-3309
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About
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Research Areas
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Inflammatory Bowel Disease
  • Diverticular Disease and Complications
  • Medical Imaging Techniques and Applications
  • Microscopic Colitis
  • Radiomics and Machine Learning in Medical Imaging
  • Appendicitis Diagnosis and Management
  • Radiology practices and education
  • Gastrointestinal disorders and treatments
  • COVID-19 Clinical Research Studies
  • MRI in cancer diagnosis
  • COVID-19 and healthcare impacts
  • Autoimmune and Inflammatory Disorders
  • Pancreatic and Hepatic Oncology Research
  • COVID-19 diagnosis using AI
  • Diagnosis and treatment of tuberculosis
  • Lung Cancer Diagnosis and Treatment
  • Advanced MRI Techniques and Applications
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Esophageal and GI Pathology
  • Gastroesophageal reflux and treatments
  • Intestinal Malrotation and Obstruction Disorders
  • Radiation Therapy and Dosimetry
  • Hepatocellular Carcinoma Treatment and Prognosis

NYU Langone Health
2013-2025

New York University
2017-2025

Brigham and Women's Hospital
2025

The University of Texas Southwestern Medical Center
2025

Prince of Songkla University
2025

Siemens Healthcare (United States)
2021-2024

Thomas Jefferson University Hospital
2024

Mayo Clinic in Arizona
2023

ORCID
2021

Hinge Health
2021

Purpose To develop and test a deep learning approach named Convolutional Neural Network (CNN) for automated screening of T 2 ‐weighted (T WI) liver acquisitions nondiagnostic images, compare this to evaluation by two radiologists. Materials Methods We evaluated 522 magnetic resonance imaging (MRI) exams performed at 1.5T 3T our institution between November 2014 May 2016 CNN training validation. The consisted an input layer, convolutional fully connected output layer. 351 WI were anonymized...

10.1002/jmri.25779 article EN public-domain Journal of Magnetic Resonance Imaging 2017-06-03

OBJECTIVE. The purpose of this study is to report unanticipated lung base findings on abdominal CT in 23 patients concerning for coronavirus disease (COVID-19). In these patients, who were not previously suspected having COVID-19, pain was the most common indication (n = 19), and 11 had no extrapulmonary findings. Seventeen underwent polymerase chain reaction testing, which returned positive results all 17.

10.2214/ajr.20.23240 article EN American Journal of Roentgenology 2020-04-22

Background Dual-energy CT enterography (DECTE) has been shown to be useful in characterizing Crohn disease activity compared with clinical markers of inflammation but, the knowledge authors, comparison not made histopathologic specimens. Purpose To compare mucosal iodine density obtained at DECTE from disease–affected bowel specimens surgically resected ileocolectomy segments or terminal ileum colonoscopic biopsies same patients. Materials and Methods This was a retrospective study. Bowel...

10.1148/radiol.2021204405 article EN Radiology 2021-08-03

The purpose of this article is to describe arterial and venous thromboembolism in the abdomen, pelvis, lower extremities patients with coronavirus disease (COVID-19). Eighty-two COVID-19 who underwent abdominal ultrasound or CT were retrospectively compared 82 without for solid-organ infarction. Nine (11%) had thromboembolic findings, medium large thrombi five. One patient known portal vein thrombus on CT. Thromboembolic findings occurred more frequently than (p = 0.02).

10.2214/ajr.20.23617 article EN American Journal of Roentgenology 2020-06-30

Rationale and ObjectivesThe educational value of the daily resident readout, a vital component training, has been markedly diminished due to significant decrease in imaging volume case mix diversity. The goal this study was create "simulated" readout (SDR) restore readout.Materials MethodsTo SDR following tasks were performed; selection cases for worklist each rotation, comprising combination normal abnormal cases; determination correct number appropriate modalities worklist; development an...

10.1016/j.acra.2020.05.021 article EN other-oa Academic Radiology 2020-06-08

OBJECTIVE. The objective of this article is to assess radiologist concordance in characterizing thyroid nodules using the American College Radiology Thyroid Imaging Reporting and Data System (TI-RADS), focusing on effect experience reader concordance. MATERIALS AND METHODS. Three experienced three less radiologists assessed 150 TI-RADS lexicon. Percent was determined for various endpoints. RESULTS. Interreader five categories 87.2% shape, 81.2% composition, 76.1% echogenicity, 72.9% margins,...

10.2214/ajr.19.21913 article EN American Journal of Roentgenology 2020-02-25

MR enterography (MRE) protocols used in patients with Crohn disease are burdened by long acquisition time, high cost, and suboptimal patient experience. For several indications, highly diagnostic MRE can be performed five or fewer sequences, without IV contrast material antiperistaltic medication an examination room time of less than 12 minutes. As such, could more friendly, frequently performed, require health care resources.

10.2214/ajr.23.30422 article EN American Journal of Roentgenology 2024-02-01

Understanding the unique features of photon-counting CT and being familiar with terminology setup processes are essential to effectively implement this modality in clinical practice.

10.1148/rg.240106 article EN Radiographics 2025-01-21

Background: Osteoporosis is underdiagnosed and undertreated. Traditional screening methods like dual-energy X-ray absorptiometry have limitations, prompting the exploration of opportunistic using CT artificial intelligence (AI). Purpose: To develop a reproducible robust AI-based method to automatically assess spine trabecular attenuation on noncontrast CTs, irrespective protocol or scanner model used during imaging acquisition, establish normative values in large diverse population. Methods:...

10.1101/2025.03.25.25324606 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2025-03-26

Abstract Dual-energy computed tomography (DECT) has been available for clinical use since 2006. Since its debut, multiple different dual energy systems have developed including sequential acquisition, rapid-switching, dual-source, and twin-beam, in addition to spectral imaging techniques such as dual-layer photon counting CT. While the specifics of these vary, underlying principles remain same; by acquiring at least two data sets, material specific information each image voxel can be...

10.1093/bjr/tqaf086 article EN British Journal of Radiology 2025-04-18

The aim of this study was to compare portal venous phase photon-counting CT (PCCT) using 20 cc less than weight-based contrast dosing with energy-integrating detector (EID-CT) by quantitative and qualitative analysis.

10.1097/rct.0000000000001617 article EN Journal of Computer Assisted Tomography 2024-04-10
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