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Joshua Reicher, MD
Joshua Reicher, MD
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
28592020
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher, L Peng, D Tse, ...
Nature medicine 25 (6), 954-961, 2019
20072019
Chest radiograph interpretation with deep learning models: assessment with radiologist-adjudicated reference standards and population-adjusted evaluation
A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ...
Radiology 294 (2), 421-431, 2020
2992020
Oxidation of the cysteine-rich regions of parkin perturbs its E3 ligase activity and contributes to protein aggregation
F Meng, D Yao, Y Shi, J Kabakoff, W Wu, J Reicher, Y Ma, B Moosmann, ...
Molecular neurodegeneration 6, 1-15, 2011
1812011
Machine learning for automation of radiology protocols for quality and efficiency improvement
A Kalra, A Chakraborty, B Fine, J Reicher
Journal of the American College of Radiology 17 (9), 1149-1158, 2020
782020
A prospective clinical study to evaluate the safety and performance of wireless localization of nonpalpable breast lesions using radiofrequency identification technology
C Dauphine, JJ Reicher, MA Reicher, C Gondusky, I Khalkhali, M Kim
American Journal of Roentgenology 204 (6), W720-W723, 2015
702015
Use of radio frequency identification (RFID) tags in bedside monitoring of endotracheal tube position
J Reicher, D Reicher, M Reicher
Journal of clinical monitoring and computing 21 (3), 155-158, 2007
542007
Radiofrequency identification tags for preoperative tumor localization: proof of concept
JJ Reicher, MA Reicher, M Thomas, R Petcavich
American Journal of Roentgenology 191 (5), 1359-1365, 2008
352008
Artificial intelligence in health informatics: hype or reality?
KF Hollis, LF Soualmia, B Séroussi
Yearbook of medical informatics 28 (01), 003-004, 2019
252019
Implementation of certified EHR, patient portal, and “direct” messaging technology in a radiology environment enhances communication of radiology results to both referring …
JJ Reicher, MA Reicher
Journal of digital imaging 29 (3), 337-340, 2016
252016
Improving reference standards for validation of AI-based radiography
GE Duggan, JJ Reicher, Y Liu, D Tse, S Shetty
The British Journal of Radiology 94 (1123), 20210435, 2021
202021
Case report: benign gastric ulcer erosion leading to a gastropericardial fistula in a patient with no known risk factors
JJ Reicher, R Mindelzun
Clinical Imaging 38 (4), 547-549, 2014
122014
Evaluation of lossy data compression in primary interpretation for full-field digital mammography
MD Kovacs, JJ Reicher, JF Grotts, MA Reicher, MA Trambert
American Journal of Roentgenology 204 (3), 570-575, 2015
102015
Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis
MV Maddali, A Kalra, M Muelly, JJ Reicher
Respiratory Medicine 219, 107428, 2023
92023
Increased prevalence of tracheal diverticula in cystic fibrosis patients
JJ Reicher, P Mohabir, E Rad, G Gayer
The British Journal of Radiology 89 (1060), 20150694, 2016
72016
Artificial intelligence and machine learning applications in musculoskeletal imaging
S Enamandram, E Sandhu, BH Do, JJ Reicher, CF Beaulieu
Advances in Clinical Radiology 2, 285-297, 2020
52020
Cancer Informatics in 2019: Deep Learning Takes Center Stage
JL Warner, D Patt
Yearbook of Medical Informatics 29 (01), 243-246, 2020
52020
Computer-aided pulmonary fibrosis detection leveraging an advanced artificial intelligence triage and notification software
KC Selvan, A Kalra, J Reicher, M Muelly, A Adegunsoye
Journal of Clinical Medicine Research 15 (8-9), 423, 2023
42023
Machine learning to distinguish lymphangioleiomyomatosis from other diffuse cystic lung diseases
A Jonas, M Muelly, N Gupta, JJ Reicher
Respiratory Investigation 60 (3), 430-433, 2022
42022
A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases
Y Ahmad, J Mooney, IE Allen, J Seaman, A Kalra, M Muelly, J Reicher
Diagnostics 14 (8), 830, 2024
32024
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