Jiancheng Yang

According to our database1, Jiancheng Yang authored at least 48 papers between 2009 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
IEEE Trans. Medical Imaging, January, 2024

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.
CoRR, 2024

2023
Multi-site, Multi-domain Airway Tree Modeling.
Medical Image Anal., December, 2023

Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks.
CoRR, 2023

Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling.
CoRR, 2023

The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases.
CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
CoRR, 2023

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.
Proceedings of the Medical Imaging with Deep Learning, 2023

Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Task Curriculum Learning for Partially Labeled Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
CoRR, 2022

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weakly Supervised Volumetric Image Segmentation with Deformed Templates.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What Makes for Automatic Reconstruction of Pulmonary Segments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Representation-Agnostic Shape Fields.
Proceedings of the Tenth International Conference on Learning Representations, 2022

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Reinventing 2D Convolutions for 3D Images.
IEEE J. Biomed. Health Informatics, 2021

Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection.
Neurocomputing, 2021

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification.
CoRR, 2021

Asymmetric 3D Context Fusion for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Shape Self-Correction for Unsupervised Point Cloud Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D Human Action Representation Learning via Cross-View Consistency Pursuit.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules.
CoRR, 2020

Learning Black-Box Attackers with Transferable Priors and Query Feedback.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Stochastic Label Refinery: Toward Better Target Label Distribution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Kinematics Analysis for Monocular 3D Human Pose Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Reinventing 2D Convolutions for 3D Medical Images.
CoRR, 2019

Evaluating and Boosting Uncertainty Quantification in Classification.
CoRR, 2019

Adversarial Attack and Defense on Point Sets.
CoRR, 2019

Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Points Agglomeration for Hierarchical Point Sets Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Reconfigurable, Pulse-shaping Potentiometric Readout System for Bio-Sensing Transistors.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
2.3 kV Field-Plated Vertical Ga2O3 Schottky Rectifiers and 1 a Forward Current with 650 V Reverse Breakdown Ga2O3 Field-Plated Schottky Barrier Diodes.
Proceedings of the 76th Device Research Conference, 2018

2009
The Research on Controlling Method of Loom Warp Tension.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009


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