Siqi Liu

Orcid: 0000-0002-4675-5498

Affiliations:
  • Siemens Healthineers, Princeton, NJ, USA
  • University of Sydney, School of IT, NSW, Australia (former)


According to our database1, Siqi Liu authored at least 40 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2021
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.
IEEE Trans. Medical Imaging, 2021

Partial Graph Reasoning for Neural Network Regularization.
CoRR, 2021

Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Single Neuron Segmentation Using Graph-Based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth.
CoRR, 2020

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19.
CoRR, 2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.
CoRR, 2020

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images.
CoRR, 2020

3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Class-Aware Adversarial Lung Nodule Synthesis In CT Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Automated 3-D Neuron Tracing With Precise Branch Erasing and Confidence Controlled Back Tracking.
IEEE Trans. Medical Imaging, 2018

Automated 3D Soma Segmentation with Morphological Surface Evolution for Neuron Reconstruction.
Neuroinformatics, 2018

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.
CoRR, 2018

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Nuclei instance segmentation with dual contour-enhanced adversarial network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Automating the Reconstruction of Neuron Morphological Models: the Rivulet Algorithm Suite.
PhD thesis, 2017

Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging.
IEEE Trans. Biomed. Eng., 2016

Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking.
Neuroinformatics, 2016

Reconstruction of 3D neuron morphology using Rivulet back-tracking.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2015

Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging.
CoRR, 2015

Multimodal neuroimaging computing: the workflows, methods, and platforms.
Brain Informatics, 2015

Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders.
Brain Informatics, 2015

Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes?
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Subject-centered multi-view feature fusion for neuroimaging retrieval and classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image.
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval.
Proceedings of the Artificial Life and Computational Intelligence, 2015

Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
Early diagnosis of Alzheimer's disease with deep learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Propagation graph fusion for multi-modal medical content-based retrieval.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014


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