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Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

IEEE transactions on medical imaging, 2016-02, Vol.35 (2), p.630-644

2016

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Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs

Pattern recognition, 2017-03, Vol.63, p.476-486

2017

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Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

Medical image analysis, 2020-07, Vol.63, p.101693-101693, Article 101693

2020

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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1299-1312

2016

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Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015, p.62-69

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Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.282-290

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A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos

Information Processing in Medical Imaging, p.327-338

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Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.79-83

2015

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Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 2), p.179-187

2014

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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

IEEE transactions on medical imaging, 2020-06, Vol.39 (6), p.1856-1867

2020

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UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2018-09, p.3-11

2018

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Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2526-2533

2021

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A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.262-266

2021

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Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Vol.2019, p.191-200

2019

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Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

IEEE transactions on medical imaging, 2017-06, Vol.36 (6), p.1231-1249

2017

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Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation

Medical image analysis, 2019-12, Vol.58, p.101541-101541, Article 101541

2019

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Robust Iris Verification Based on Local and Global Variations

EURASIP journal on advances in signal processing, 2010-01, Vol.2010 (1), Article 979058

2010

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Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 2019, p.384-393

2019

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Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1251-1255

2019

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Computer-aided Detection and Visualization of Pulmonary Embolism Using a Novel, Compact, and Informative Image Representation

Medical image analysis, 2019-08, Vol.58, p.101541-101541

2019

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Robust Iris Verification Based on Local and Global Variations

EURASIP journal on advances in signal processing, 2010-01, Vol.2010 (1), p.979058-979058

2010

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Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.2526-2535

2016

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MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network

Computer methods in biomechanics and biomedical engineering., 2020-09, Vol.8 (5), p.509-518

2020

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ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.1364-1368

2020

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Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks

Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network

A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos

Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging

A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation

Robust Iris Verification Based on Local and Global Variations

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

Computer-aided Detection and Visualization of Pulmonary Embolism Using a Novel, Compact, and Informative Image Representation

Robust Iris Verification Based on Local and Global Variations

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks

MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan

Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network

ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation

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