Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.

[BibT_eX]

[DOI]

Qihang Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

[BibT_eX]

[DOI]

CoRR, 2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Distance Transform for Tubular Structure Segmentation in CT Scans.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Architecture Search for Lightweight Non-Local Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Universal Physical Camouflage Attacks on Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Transferable Adversarial Examples via Ghost Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Metric Attack for Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Lesion Detection by Efficiently Bridging 3D Context.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Improving Transferability of Adversarial Examples With Input Diversity.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Semi-supervised multi-organ segmentation via multi-planar co-training.

[BibT_eX]

[DOI]

CoRR, 2018

Improving Transferability of Adversarial Examples with Input Diversity.

[BibT_eX]

[DOI]

CoRR, 2018

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual Concepts and Compositional Voting.

[BibT_eX]

[DOI]

CoRR, 2017

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Adversarial Examples for Semantic Segmentation and Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach.

[BibT_eX]

[DOI]

CoRR, 2016

Yuyin Zhou

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