S. Kevin Zhou

Orcid: 0000-0002-6881-4444

According to our database1, S. Kevin Zhou authored at least 52 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Distortion-Disentangled Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active CT Reconstruction with a Learned Sampling Policy.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

UOD: Universal One-Shot Detection of Anatomical Landmarks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DiffULD: Diffusive Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

WeakPolyp: You only Look Bounding Box for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Label-Free Nuclei Segmentation Using Intra-Image Self Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Aggregative Self-supervised Feature Learning from Limited Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Rib Suppression in Digital Chest Tomosynthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Incrementally to Segment Multiple Organs in a CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SATr: Slice Attention with Transformer for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Non-Linear Embedding Deformation Network for Cross-Modal Brain MRI Synthesis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency.
Proceedings of the Computer Vision - ECCV 2022, 2022

Which images to label for few-shot medical landmark detection?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Few-shot Learning for Multi-Modality Tasks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

You only Learn Once: Universal Anatomical Landmark Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Shallow Attention Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Conditional Training with Bounding Map for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Perceptual Quality Assessment of Chest Radiograph.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A<sup>3</sup>DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation.
Proceedings of the Information Processing in Medical Imaging, 2021

Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification.
Proceedings of the Intelligent Computing Theories and Application, 2021

Shallow Feature Matters for Weakly Supervised Object Localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
One-to-one Mapping for Unpaired Image-to-image Translation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Towards multi-sequence MR image recovery from undersampled k-space data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Bounding Maps for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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