Dominik Fleischmann

ORCID: 0000-0003-0715-0952
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About
Contact & Profiles
Research Areas
  • Aortic Disease and Treatment Approaches
  • Aortic aneurysm repair treatments
  • Cardiac Valve Diseases and Treatments
  • Cardiac Imaging and Diagnostics
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Cerebrovascular and Carotid Artery Diseases
  • Medical Imaging Techniques and Applications
  • Peripheral Artery Disease Management
  • Advanced MRI Techniques and Applications
  • Venous Thromboembolism Diagnosis and Management
  • Cardiac Arrhythmias and Treatments
  • Cardiac electrophysiology and arrhythmias
  • Lung Cancer Diagnosis and Treatment
  • Vascular Procedures and Complications
  • Congenital Heart Disease Studies
  • Pulmonary Hypertension Research and Treatments
  • Cardiac Structural Anomalies and Repair
  • Medical Image Segmentation Techniques
  • Medical Imaging and Pathology Studies
  • Cardiac, Anesthesia and Surgical Outcomes
  • Coronary Interventions and Diagnostics
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Cardiac pacing and defibrillation studies
  • Cardiovascular Function and Risk Factors

Stanford University
2016-2025

Cardiovascular Institute of the South
2015-2023

Stanford Medicine
2009-2023

Palo Alto University
2013-2023

Baystate Health
2023

University of California, Davis
2022

Domus Medica
2012-2022

University Medical Center Groningen
2022

Cardiovascular Institute Hospital
2021

Centre Hospitalier de l’Université de Montréal
2014-2021

Artifacts are commonly encountered in clinical CT and may obscure or simulate pathology. There many different types of artifacts, including noise, beam hardening, scatter, pseudoenhancement, motion, cone-beam, helical, ring metal artifacts. We review the cause appearance each type artifact, correct some popular misconceptions describe modern techniques for artifact reduction. Noise can be reduced using iterative reconstruction by combining data from multiple scans. This enables lower...

10.2217/iim.12.13 article EN Imaging in Medicine 2012-04-01

Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The potential applications are vast and include the entirety of imaging life cycle from image creation diagnosis outcome prediction. chief obstacles development clinical implementation AI algorithms availability sufficiently large, curated, representative training data that includes expert labeling (eg, annotations). Current supervised methods require a curation process for optimally train, validate,...

10.1148/radiol.2020192224 article EN Radiology 2020-02-18

To evaluate two methods for reducing metal artifacts in computed tomography (CT)--the deletion technique (MDT) and the selective algebraic reconstruction (SART)--and compare these with filtered back projection (FBP) linear interpolation (LI).The institutional review board approved this retrospective HIPAA-compliant study; informed patient consent was waived. Simulated data were calculated a phantom that contained water, soft tissue, bone, iron. Clinical obtained retrospectively from 11...

10.1148/radiol.11101782 article EN Radiology 2011-02-26

Radiologists' perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists residents in Europe beyond.Between April July 2019, a survey on fear replacement, knowledge, was accessible residents. The distributed through several radiological societies, author networks, social media. Independent predictors replacement positive were assessed using multivariable logistic regression.The...

10.1007/s00330-021-07781-5 article EN cc-by European Radiology 2021-03-20

PURPOSE: To compare the uniformity of aortoiliac opacification obtained from uniphasic contrast medium injections versus individualized biphasic at computed tomographic (CT) angiography. MATERIALS AND METHODS: Thirty-two patients with an abdominal aortic aneurysm underwent CT In 16 (group 1), 120 mL material was administered a flow rate 4 mL/sec. other 2), injection protocols were by using mathematic deconvolution each patient's time-attenuation response to standardized test injection....

10.1148/radiology.214.2.r00fe18363 article EN Radiology 2000-02-01

To evaluate the diagnostic value of magnetic resonance (MR) imaging in patients with clinical suspicion scaphoid fractures and normal initial plain radiographs.MR was performed within 7 days after trauma 42 radiographs. T1-weighted spin-echo, T2*-weighted gradient-echo, short inversion time inversion-recovery (STIR) sequences were performed. MR images evaluated independently by two radiologists. Six-week follow-up radiographs used as a standard to diagnose fractures.MR depicted occult bone...

10.1148/radiology.203.1.9122402 article EN Radiology 1997-04-01

To determine the clinical importance of bird-beak configuration after thoracic endovascular aortic repair (TEVAR).The institutional review board approved this retrospective study and waived requirement to obtain informed consent from patients. Sixty-four patients (40 men, 24 women; mean age, 64 years) who underwent TEVAR were evaluated. The treated diseases included dissection (n = 29), degenerative aneurysm 13), acute traumatic transection 8), pseudoaneurysm 4), penetrating ulcer 6),...

10.1148/radiol.10091468 article EN Radiology 2010-04-22

Background— Medical treatment of initially uncomplicated acute Stanford type-B aortic dissection is associated with a high rate late adverse events. Identification individuals who potentially benefit from preventive endografting highly desirable. Methods and Results— The association computed tomography imaging features events was retrospectively assessed in 83 patients dissection, followed over median 850 (interquartile range 247–1824) days. Adverse were defined as fatal or nonfatal rupture,...

10.1161/circimaging.116.005709 article EN Circulation Cardiovascular Imaging 2017-03-31

Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a much-debated topic but have not been investigated the community at large. Also, controversy exists if and what extent AI should be incorporated into residency programs.Between April July 2019, an international survey took place on regarding its impact profession training. The was accessible for radiologists residents distributed through several radiological societies. Relationships independent variables...

10.1007/s00330-021-07782-4 article EN cc-by European Radiology 2021-05-11

BACKGROUND: Risk stratification is highly desirable in patients with uncomplicated Stanford type B aortic dissection but inadequately supported by evidence. We sought to validate externally a published prediction model for late adverse events (LAEs), consisting of 1 clinical (connective tissue disease) and 4 imaging variables: maximum diameter, false lumen circumferential angle, outflow, number identifiable intercostal arteries. METHODS: assembled retrospective multicenter cohort (ROADMAP...

10.1161/circimaging.124.016766 article EN Circulation Cardiovascular Imaging 2025-02-01

PURPOSE: To compare the efficacy of spiral computed tomographic (CT) venography with conventional in diagnosis suspected deep venous thrombosis (DVT). MATERIALS AND METHODS: In a prospective study, 52 consecutive patients clinically unilateral or bilateral DVT were studied CT and venography. cases which venographic findings inconclusive, color-coded duplex sonography follow-up examinations performed to make final diagnosis. both extremities covered 100-cm section from ankle inferior vena...

10.1148/radiology.200.2.8685336 article EN Radiology 1996-08-01

Visualization of tubular structures such as blood vessels is an important topic in medical imaging. One way to display for diagnostic purposes generate longitudinal cross-sections order show their lumen, wall, and surrounding tissue a curved plane. This process called planar reformation (CPR). We present three different methods CPR images. A tube-phantom was scanned with computed tomography (CT) illustrate the properties methods. Furthermore we introduce enhancements these methods:...

10.5555/602099.602103 article EN IEEE Visualization 2002-10-27
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