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Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video)

Gastrointestinal endoscopy, 2023-02, Vol.97 (2), p.268-278.e1

2023

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Artificial Intelligence Research and Development for Application in Video Capsule Endoscopy

Gastrointestinal endoscopy clinics of North America, 2021-04, Vol.31 (2), p.387-397

2021

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Application of artificial intelligence using a novel EUS-based convolutional neural network model to identify and distinguish benign and malignant hepatic masses

Gastrointestinal endoscopy, 2021-05, Vol.93 (5), p.1121-1130.e1

2021

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Development of a Computer-aided Prediction Tool for Evaluating Brushing Samples of Biliary Strictures

Clinical gastroenterology and hepatology, 2024-01, Vol.22 (1), p.185-187.e3

2024

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Discontinuation of proton pump inhibitor use reduces the number of endoscopic procedures required for resolution of walled-off pancreatic necrosis

Endoscopic Ultrasound, 2019-05, Vol.8 (3), p.194-198

2019

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Construction Dewatering and Groundwater Control - New Methods and Applications (3rd Edition)

2007

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Imaging the lungs in asthmatic patients by using hyperpolarized helium-3 magnetic resonance: Assessment of response to methacholine and exercise challenge

Journal of allergy and clinical immunology, 2003-06, Vol.111 (6), p.1205-1211

2003

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REAL-TIME CHOLANGIOSCOPY ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSIS OF BILIARY TRACT MALIGNANCY: A PROSPECTIVE FEASIBILITY TRIAL

Gastrointestinal endoscopy, 2024-06, Vol.99 (6), p.AB630-AB630

2024

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A Recursive Distributed Linear Bias Model

2023 IEEE Aerospace Conference, 2023, p.1-10

2023

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Evaluating the fidelity of enamel isotopic data and environmental variation in paleoecological studies: A case study in wild, known-aged, modern white-tailed deer (Odocoileus virginianus)

Palaeogeography, palaeoclimatology, palaeoecology, 2023-07, Vol.622, p.111587, Article 111587

2023

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MULTICENTER VALIDATION OF A CHOLANGIOSCOPY ARTIFICIAL INTELLIGENCE FOR EVALUATION OF BILIARY TRACT MALIGNANCY

Gastrointestinal endoscopy, 2024-06, Vol.99 (6), p.AB9-AB10

2024

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Soil analysis using a 2″ NaI gamma detector

American journal of physics, 2021-06, Vol.89 (6), p.647-654

2021

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Tu1375 A CASE-MATCHED STUDY ON EUS-GUIDED DRAINAGE OF WALLED-OFF NECROSIS USING 20MM VS 15MM LUMEN APPOSING METAL STENTS: IS BIGGER BETTER?

Gastrointestinal endoscopy, 2019-06, Vol.89 (6), p.AB597-AB598

2019

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1121: UTILIZATION OF ARTIFICIAL INTELLIGENCE AND OCCLUSION BLOCK HEATMAP TECHNIQUE TO EXTRACT AND RANK CHOLANGIOSCOPIC FEATURES ASSOCIATED WITH MALIGNANT BILIARY STRICTURES

Gastroenterology (New York, N.Y. 1943), 2022-05, Vol.162 (7), p.S-259-S-260

2022

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DEVELOPMENT AND VALIDATION OF A CHOLANGIOSCOPY CONVOLUTIONAL NEURAL NETWORK CAPABLE OF VIDEO ANALYSIS AND ACCURATE CLASSIFICATION OF BILIARY STRICTURES

Gastrointestinal endoscopy, 2022-06, Vol.95 (6), p.AB314-AB314

2022

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IMPACT OF ARTIFICIAL INTELLIGENCE-DRIVEN WHOLE SLIDE IMAGE SCORING AND PRIORITIZATION ON USER EFFICIENCY DURING CYTOLOGIC EVALUATION OF BILIARY STRICTURES

Gastrointestinal endoscopy, 2023-06, Vol.97 (6), p.AB741-AB742

2023

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ASSESSMENT OF A NOVEL ARTIFICIAL INTELLIGENCE-ENHANCED APPLICATION DESIGNED TO ASSIST THE CYTOLOGIC EVALUATION OF BILIARY STRICTURES: RESULTS OF A DOUBLE-BLINDED, PRAGMATIC TRIAL

Gastrointestinal endoscopy, 2023-06, Vol.97 (6), p.AB588-AB589

2023

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Endoscopic ultrasound-guided drainage of pancreatic walled-off necrosis using 20-mm versus 15-mm lumen-apposing metal stents: an international, multicenter, case-matched study

Endoscopy, 2020-03, Vol.52 (3), p.211

2020

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DEVELOPMENT AND VALIDATION OF A CYTOLOGY-BASED DEEP LEARNING ARTIFICIAL INTELLIGENCE MODEL FOR DIAGNOSING BILIARY TRACT MALIGNANCIES

Gastrointestinal endoscopy, 2022-06, Vol.95 (6), p.AB315-AB316

2022

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Fast ML-Assisted Interference Estimation and Suppression for Digital Phased Array Radar

2022 IEEE International Symposium on Phased Array Systems & Technology (PAST), 2022, p.1-8

2022

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Machine Learning-Assisted Computationally Efficient Target Detection and Tracking in Massive Fully Digital Phased Arrays

IEEE transactions on radar systems, 2023, Vol.1, p.353-367

2023

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Tu1604 DEVELOPMENT OF AN EUS CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR THE DIFFERENTIATION OF PANCREATIC DUCTAL ADENOCARCINOMA FROM BENIGN CONDITIONS OF THE PANCREAS

Gastroenterology (New York, N.Y. 1943), 2020-05, Vol.158 (6), p.S-1134-S-1134

2020

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Sa2017 COMPARISON OF PHYSICIAN SELECTED INDIVIDUAL IMAGES VERSUS COMPLETE UNEDITED VIDEO ANALYSIS FOR EUS-CONVOLUTIONAL NEURAL NETWORK DATASETS DESIGNED FOR EVALUATING PANCREATIC PATHOLOGY

Gastrointestinal endoscopy, 2020-06, Vol.91 (6), p.AB244-AB244

2020

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Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis

Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video)

Artificial Intelligence Research and Development for Application in Video Capsule Endoscopy

Application of artificial intelligence using a novel EUS-based convolutional neural network model to identify and distinguish benign and malignant hepatic masses

Development of a Computer-aided Prediction Tool for Evaluating Brushing Samples of Biliary Strictures

Discontinuation of proton pump inhibitor use reduces the number of endoscopic procedures required for resolution of walled-off pancreatic necrosis

Construction Dewatering and Groundwater Control - New Methods and Applications (3rd Edition)

Utilization of an artificial intelligence–enhanced, web‐based application to review bile duct brushing cytologic specimens: A pilot study

Imaging the lungs in asthmatic patients by using hyperpolarized helium-3 magnetic resonance: Assessment of response to methacholine and exercise challenge

REAL-TIME CHOLANGIOSCOPY ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSIS OF BILIARY TRACT MALIGNANCY: A PROSPECTIVE FEASIBILITY TRIAL

A Recursive Distributed Linear Bias Model

Evaluating the fidelity of enamel isotopic data and environmental variation in paleoecological studies: A case study in wild, known-aged, modern white-tailed deer (Odocoileus virginianus)

MULTICENTER VALIDATION OF A CHOLANGIOSCOPY ARTIFICIAL INTELLIGENCE FOR EVALUATION OF BILIARY TRACT MALIGNANCY

Soil analysis using a 2″ NaI gamma detector

Tu1375 A CASE-MATCHED STUDY ON EUS-GUIDED DRAINAGE OF WALLED-OFF NECROSIS USING 20MM VS 15MM LUMEN APPOSING METAL STENTS: IS BIGGER BETTER?

1121: UTILIZATION OF ARTIFICIAL INTELLIGENCE AND OCCLUSION BLOCK HEATMAP TECHNIQUE TO EXTRACT AND RANK CHOLANGIOSCOPIC FEATURES ASSOCIATED WITH MALIGNANT BILIARY STRICTURES

DEVELOPMENT AND VALIDATION OF A CHOLANGIOSCOPY CONVOLUTIONAL NEURAL NETWORK CAPABLE OF VIDEO ANALYSIS AND ACCURATE CLASSIFICATION OF BILIARY STRICTURES

IMPACT OF ARTIFICIAL INTELLIGENCE-DRIVEN WHOLE SLIDE IMAGE SCORING AND PRIORITIZATION ON USER EFFICIENCY DURING CYTOLOGIC EVALUATION OF BILIARY STRICTURES

ASSESSMENT OF A NOVEL ARTIFICIAL INTELLIGENCE-ENHANCED APPLICATION DESIGNED TO ASSIST THE CYTOLOGIC EVALUATION OF BILIARY STRICTURES: RESULTS OF A DOUBLE-BLINDED, PRAGMATIC TRIAL

Endoscopic ultrasound-guided drainage of pancreatic walled-off necrosis using 20-mm versus 15-mm lumen-apposing metal stents: an international, multicenter, case-matched study

DEVELOPMENT AND VALIDATION OF A CYTOLOGY-BASED DEEP LEARNING ARTIFICIAL INTELLIGENCE MODEL FOR DIAGNOSING BILIARY TRACT MALIGNANCIES

Fast ML-Assisted Interference Estimation and Suppression for Digital Phased Array Radar

Machine Learning-Assisted Computationally Efficient Target Detection and Tracking in Massive Fully Digital Phased Arrays

Tu1604 DEVELOPMENT OF AN EUS CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR THE DIFFERENTIATION OF PANCREATIC DUCTAL ADENOCARCINOMA FROM BENIGN CONDITIONS OF THE PANCREAS

Sa2017 COMPARISON OF PHYSICIAN SELECTED INDIVIDUAL IMAGES VERSUS COMPLETE UNEDITED VIDEO ANALYSIS FOR EUS-CONVOLUTIONAL NEURAL NETWORK DATASETS DESIGNED FOR EVALUATING PANCREATIC PATHOLOGY

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