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Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

1, 2017

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448 Deformable Medial Modeling to Generate Novel Shape Features of the Placenta Using Automated versus Manual Segmentations

Journal of clinical and translational science, 2024-04, Vol.8 (s1), p.132-133

2024

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PD27-05 AUTOMATED ANALYSIS OF STONE DUST DURING URETEROSCOPY TO PREDICT STONE FREE STATUS USING COMPUTER VISION MODELS

The Journal of urology, 2024-05, Vol.211 (5S)

2024

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0-6 – 60-∞ Hand in Hand: Reflections from an Intergenerational Interaction Study

Eğitimde nitel araştırmalar dergisi, 2022-07, Vol.22 (31)

2022

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Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

1st Edition 2018, 2018

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MP07-15 REAL-TIME KIDNEY STONE SEGMENTATION DURING DISTINCT URETEROSCOPIC TASKS USING A COMPUTER VISION MODEL

The Journal of urology, 2024-05, Vol.211 (5S)

2024

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MP07-16 COMPUTER VISION ANALYSIS OF UPPER TRACT UROTHELIAL CARCINOMA TO PREDICT HIGH VS LOW GRADE PATHOLOGY

The Journal of urology, 2024-05, Vol.211 (5S)

2024

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MP68-03 USING A COMPUTER VISION-MEDIATED ANALYSIS TO DISTINGUISH SURGEON EXPERIENCE DURING ENDOSCOPIC STONE SURGERY

The Journal of urology, 2023-04, Vol.209 (Supplement 4)

2023

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MP26-06 AUTOMATED SEGMENTATION OF UPPER URINARY TRACT TUMORS DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

The Journal of urology, 2023-04, Vol.209 (Supplement 4)

2023

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Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

1st Edition 2018, 2018

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MP32-03 AUTOMATED SEGMENTATION OF KIDNEY STONES DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

The Journal of urology, 2022-05, Vol.207 (Supplement 5)

2022

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V03-01 AUTOMATED KIDNEY STONE SEGMENTATION DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

The Journal of urology, 2022-05, Vol.207 (Supplement 5)

2022

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Automated segmentation analysis of 3DUS placental volumes yields an early biomarker of fetal growth potential

American journal of obstetrics and gynecology, 2022-01, Vol.226 (1), p.S96-S96

2022

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TENSOR-BASED GRADING: A NOVEL PATCH-BASED GRADING APPROACH FOR THE ANALYSIS OF DEFORMATION FIELDS IN HUNTINGTON'S DISEASE

Proceedings (International Symposium on Biomedical Imaging), 2020-04, Vol.2020, p.1091-1095

2020

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Fully Automated Placental Volume Quantification From 3D Ultrasound for Prediction of Small‐for‐Gestational‐Age Infants

Journal of ultrasound in medicine, 2022-06, Vol.41 (6), p.1509-1524

2022

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Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, p.1-5

2024

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Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, p.1-5

2024

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Computed tomography predictors of response to endobronchial valve lung reduction treatment. Comparison with Chartis

American journal of respiratory and critical care medicine, 2015-04, Vol.191 (7), p.767-774

2015

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1049: Fully automated placental volume quantification from 3DUS for prediction of small-for-gestational age infants

American journal of obstetrics and gynecology, 2019-01, Vol.220 (1), p.S672-S673

2019

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Synthetic Atrophy for Longitudinal Cortical Surface Analyses

Frontiers in neuroimaging, 2022-06, Vol.1, p.861687-861687

2022

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Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, p.1-5

2024

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Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification

Understanding and Interpreting Machine Learning in Medical Image Computing Applications, p.115-123

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Machine Learning-Based Techniques for Medical Image Registration and Segmentation and a Technique for Patient-Customized Placement of Cochlear Implant Electrode Arrays

2021

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4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans

Investigative ophthalmology & visual science, 2016-07, Vol.57 (9), p.OCT621-OCT630

2016

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Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images

Understanding and Interpreting Machine Learning in Medical Image Computing Applications, p.97-105

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Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

448 Deformable Medial Modeling to Generate Novel Shape Features of the Placenta Using Automated versus Manual Segmentations

PD27-05 AUTOMATED ANALYSIS OF STONE DUST DURING URETEROSCOPY TO PREDICT STONE FREE STATUS USING COMPUTER VISION MODELS

0-6 – 60-∞ Hand in Hand: Reflections from an Intergenerational Interaction Study

Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

MP07-15 REAL-TIME KIDNEY STONE SEGMENTATION DURING DISTINCT URETEROSCOPIC TASKS USING A COMPUTER VISION MODEL

MP07-16 COMPUTER VISION ANALYSIS OF UPPER TRACT UROTHELIAL CARCINOMA TO PREDICT HIGH VS LOW GRADE PATHOLOGY

MP68-03 USING A COMPUTER VISION-MEDIATED ANALYSIS TO DISTINGUISH SURGEON EXPERIENCE DURING ENDOSCOPIC STONE SURGERY

MP26-06 AUTOMATED SEGMENTATION OF UPPER URINARY TRACT TUMORS DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

MP32-03 AUTOMATED SEGMENTATION OF KIDNEY STONES DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

V03-01 AUTOMATED KIDNEY STONE SEGMENTATION DURING URETEROSCOPY USING COMPUTER VISION TECHNIQUES

Automated segmentation analysis of 3DUS placental volumes yields an early biomarker of fetal growth potential

TENSOR-BASED GRADING: A NOVEL PATCH-BASED GRADING APPROACH FOR THE ANALYSIS OF DEFORMATION FIELDS IN HUNTINGTON'S DISEASE

Fully Automated Placental Volume Quantification From 3D Ultrasound for Prediction of Small‐for‐Gestational‐Age Infants

Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models

Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts

Computed tomography predictors of response to endobronchial valve lung reduction treatment. Comparison with Chartis

1049: Fully automated placental volume quantification from 3DUS for prediction of small-for-gestational age infants

Synthetic Atrophy for Longitudinal Cortical Surface Analyses

Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration

Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification

Machine Learning-Based Techniques for Medical Image Registration and Segmentation and a Technique for Patient-Customized Placement of Cochlear Implant Electrode Arrays

4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images

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