1k citations · 1.8k across the 25 of their papers we have counts for
9 papers · 1 filter
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
Chinmay Prabhakar, Hongwei Bran Li, Jiancheng Yang +3
Self-supervised learning has attracted increasing attention as it learns data-driven representation from data without annotations. Vision transformer-based autoencoder (ViT-AE) by…
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe +3
The human annotations are imperfect, especially when produced by junior practitioners. Multi-expert consensus is usually regarded as golden standard, while this annotation protocol…
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei +5
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre-proc…
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li, Minsi Wang, Bingbing Ni +3
In this work, we propose a Cross-view Contrastive Learning framework for unsupervised 3D skeleton-based action Representation (CrosSCLR), by leveraging multi-view complementary sup…
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
We present MedMNIST, a collection of 10 pre-processed medical open datasets. MedMNIST is standardized to perform classification tasks on lightweight 28x28 images, which requires no…
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
Jiancheng Yang, Yi He, Xiaoyang Huang +4
This paper addresses a fundamental challenge in 3D medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance…
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
Tiancheng Lin, Yuanfan Guo, Canqian Yang +2
Early diagnosis of signet ring cell carcinoma dramatically improves the survival rate of patients. Due to lack of public dataset and expert-level annotations, automatic detection o…
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang, Qiang Zhang, Bingbing Ni +4
Geometric deep learning is increasingly important thanks to the popularity of 3D sensors. Inspired by the recent advances in NLP domain, the self-attention transformer is introduce…
Adversarial Attack and Defense on Point Sets
Jiancheng Yang, Qiang Zhang, Rongyao Fang +3
Emergence of the utility of 3D point cloud data in safety-critical vision tasks (e.g., ADAS) urges researchers to pay more attention to the robustness of 3D representations and dee…