Dongdong Chen

Matthias J. Ehrhardt

Ferdia Sherry

IEEE Signal Process. Mag., 2023

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

[BibT_eX]

[DOI]

Angelica E. Avilés-Rivero

CoRR, 2023

Traffic Video Object Detection using Motion Prior.

[BibT_eX]

[DOI]

Angelica I. Avilés-Rivero

CoRR, 2023

2022

An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Imaging with Equivariant Deep Learning.

[BibT_eX]

[DOI]

Matthias J. Ehrhardt

Ferdia Sherry

CoRR, 2022

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2022

Sampling Theorems for Learning from Incomplete Measurements.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Learning From Incomplete Measurements for Inverse Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Unrolling for Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

Mohammad Golbabaee

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Equivariant Imaging: Learning Beyond the Range Space.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Network Framework for Small-Sample Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography.

[BibT_eX]

[DOI]

CoRR, 2020

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations.

[BibT_eX]

[DOI]

Mohammad Golbabaee

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

Deep Decomposition Learning for Inverse Imaging Problems.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Angle-based embedding quality assessment method for manifold learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.

[BibT_eX]

[DOI]

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

A Deep Dual-path Network for Improved Mammogram Image Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Geometry of Deep Learning for Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Graph Regularized Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Jiancheng Lv

Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2018

A deep learning approach for Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Jiancheng Lv

CoRR, 2018

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Unsupervised Multi-Manifold Clustering by Learning Deep Representation.

[BibT_eX]

[DOI]

Jiancheng Lv

Yi Zhang

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2014

A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation.

[BibT_eX]

[DOI]