One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed.

[BibT_eX]

[DOI]

Sheng Li

Guizhi Zhang

Comput. Medical Imaging Graph., 2021

Stochastic Actor-Executor-Critic for Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Transferable Adversarial Examples for Anchor Free Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Imperceptible Adversarial Examples For Fake Image Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.

[BibT_eX]

[DOI]

Jalil Nourmohammadi-Khiarak

Farhang Jaryani

Samaneh Salehi Nasab

Seyed Naeim Moafinejad

Yasin Amini

Morteza Noshad

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

2020

Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting.

[BibT_eX]

[DOI]

CoRR, 2020

Learning tree-structured representation for 3D coronary artery segmentation.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2020

A Spatiotemporal Agent for Robust Multimodal Registration.

[BibT_eX]

[DOI]

IEEE Access, 2020

Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Fast Local Attack: Generating Local Adversarial Examples for Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding.

[BibT_eX]

[DOI]

CoRR, 2019

Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

ACNET: Attention-based Convolution Network with Additional Discriminative Features for DCM Classification (S).

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.

[BibT_eX]

[DOI]

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

Residual Attention Based Network for Hand Bone Age Assessment.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks.

[BibT_eX]

[DOI]

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

2018

Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis.

[BibT_eX]

[DOI]

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

Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning.

[BibT_eX]

[DOI]

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

Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Cancer Metastasis Detection via Spatially Structured Deep Network.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

2013

Optimal Co-Segmentation of Tumor in PET-CT Images With Context Information.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, September, 2013

Optimal Multiple Surface Segmentation With Shape and Context Priors.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Globally optimal lung tumor co-segmentation of 4D CT and PET images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012

Efficient searching of globally optimal and smooth multisurfaces with shape priors.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Fast dynamic programming for labeling problems with ordering constraints.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2011

Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Retinal vessel width measurements based on a graph-theoretic method.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Efficient Algorithms for Segmenting Globally Optimal and Smooth Multi-surfaces.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

Feature guided motion artifact reduction with structure-awareness in 4D CT images.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Simultaneous searching of globally optimal interacting surfaces with shape priors.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Globally optimal 3D graph search incorporating both edge and regional information: application to aortic MR image segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation.

[BibT_eX]

[DOI]

Yin Yin

Qi Song

Milan Sonka

Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

Qi Song

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