Yan Wang
Orcid: 0000-0002-1592-9627Affiliations:
- East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, China
- Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
- Nanyang Technological University, School of Electrical and Electronic Engineering, ROSE Lab, Singapore (PhD 2017)
- Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA (2016 - 2017)
According to our database1,
Yan Wang
authored at least 85 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Medical Imaging, September, 2024
SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation.
IEEE Trans. Circuits Syst. Video Technol., June, 2024
Dual-modality image feature fusion network for gastric precancerous lesions classification.
Biomed. Signal Process. Control., January, 2024
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.
Medical Image Anal., 2024
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch.
CoRR, 2024
CoRR, 2024
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations.
CoRR, 2024
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype.
CoRR, 2024
I<sup>3</sup>Net: Inter-Intra-slice Interpolation Network for Medical Slice Synthesis.
CoRR, 2024
CrossU-Net: Dual-modality cross-attention U-Net for segmentation of precancerous lesions in gastric cancer.
Comput. Medical Imaging Graph., 2024
Unsupervised domain adaptation for histopathology image segmentation with incomplete labels.
Comput. Biol. Medicine, 2024
Augmented contour scoring snake for instance segmentation of placental separable villi.
Biomed. Signal Process. Control., 2024
GeNSeg-Net: A General Segmentation Framework for Any Nucleus in Immunohistochemistry Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries Using Gaussian Splatting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Multi-stage Multi-granularity Focus-Tuned Learning Paradigm for Medical HSI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-Modal Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Exploring Hyperspectral Histopathology Image Segmentation from a Deformable Perspective.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Generative Data Augmentation Trained by Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Design of a Spectrometer for Macroscopic On-site Evaluation on Endoscopic Ultrasound-guided Fine-needle Aspiration Biopsy.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.
IEEE Trans. Medical Imaging, 2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting.
CoRR, 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
S<sup>3</sup>R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
An autofocus algorithm for microscopic hyperspectral imaging system with adaptive wavelength variation.
Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.
IEEE Trans. Medical Imaging, 2021
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
Single Generative Networks for Stain Normalization and Quality Enhancement of Histological Images in Digital Pathology.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
IEEE Trans. Medical Imaging, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Medical Image Anal., 2019
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.
IEEE Trans. Image Process., 2017
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation.
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the 6th International Symposium on Communications, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013