CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.

[BibT_eX]

[DOI]

Jieneng Chen

Yingda Xia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.

[BibT_eX]

[DOI]

CoRR, 2021

Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection.

[BibT_eX]

[DOI]

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

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss.

[BibT_eX]

[DOI]

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

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.

[BibT_eX]

[DOI]

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

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.

[BibT_eX]

[DOI]

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

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.

[BibT_eX]

[DOI]

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

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Automated abnormality classification of chest radiographs using deep convolutional neural networks.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.

[BibT_eX]

[DOI]

CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.

[BibT_eX]

[DOI]

CoRR, 2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.

[BibT_eX]

[DOI]

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

One Click Lesion RECIST Measurement and Segmentation on CT Scans.

[BibT_eX]

[DOI]

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

Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.

[BibT_eX]

[DOI]

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

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.

[BibT_eX]

[DOI]

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

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.

[BibT_eX]

[DOI]

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

2019

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.

[BibT_eX]

[DOI]

CoRR, 2019

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.

[BibT_eX]

[DOI]

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

Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports.

[BibT_eX]

[DOI]

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

Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.

[BibT_eX]

[DOI]

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

A self-attention based deep learning method for lesion attribute detection from CT reports.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology.

[BibT_eX]

[DOI]

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

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.

[BibT_eX]

[DOI]

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

2018

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.

[BibT_eX]

[DOI]

CoRR, 2018

3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection.

[BibT_eX]

[DOI]

Ke Yan

Mohammadhadi Bagheri

Ronald M. Summers

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

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.

[BibT_eX]

[DOI]

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

Unsupervised body part regression via spatially self-ordering convolutional neural networks.

[BibT_eX]

[DOI]

Ke Yan

Le Lu

Ronald M. Summers

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

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.

[BibT_eX]

[DOI]

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

2017

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations.

[BibT_eX]

[DOI]

CoRR, 2017

Unsupervised body part regression using convolutional neural network with self-organization.

[BibT_eX]

[DOI]

Ke Yan

Le Lu