activity
20192023
most citedThe Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

151 citations · 209 across the 7 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 42 cited

A Survey of Visual Transformers

Yang Liu, Yao Zhang, Yixin Wang +7

Transformer, an attention-based encoder-decoder model, has already revolutionized the field of natural language processing (NLP). Inspired by such significant achievements, some pi…

eess.IV2021

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Zhe Xu, Yixin Wang, Donghuan Lu +6

Semi-supervised learning has substantially advanced medical image segmentation since it alleviates the heavy burden of acquiring the costly expert-examined annotations. Especially,…

eess.IV2021★ 8 cited

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Yixin Wang, Yang Zhang, Yang Liu +6

Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is clinically relevant in diagnoses, prognoses and surgery treatment, which requires multiple modalities…

eess.IV2021★ 4 cited

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Zhe Xu, Donghuan Lu, Yixin Wang +5

Manually segmenting the hepatic vessels from Computer Tomography (CT) is far more expertise-demanding and laborious than other structures due to the low-contrast and complex morpho…

cs.CV2021

Trust It or Not: Confidence-Guided Automatic Radiology Report Generation

Yixin Wang, Zihao Lin, Zhe Xu +7

Medical imaging plays a pivotal role in diagnosis and treatment in clinical practice. Inspired by the significant progress in automatic image captioning, various deep learning (DL)…