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20142024
most cited3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

38 citations · 66 across the 21 of their papers we have counts for

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7 papers · 1 filter

eess.IV20241 cited

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Wei Fang, Yuxing Tang, Heng Guo +9

In the realm of medical 3D data, such as CT and MRI images, prevalent anisotropic resolution is characterized by high intra-slice but diminished inter-slice resolution. The lowered…

eess.IV20231 cited

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Hexin Dong, Jiawen Yao, Yuxing Tang +11

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in which the tumor-vascular involvement greatly affects the resectability and, thus, overall survival of patients.…

eess.IV2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang +8

Lung cancer is a leading cause of death worldwide and early screening is critical for improving survival outcomes. In clinical practice, the contextual structure of nodules and the…

eess.IV20231 cited

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Mingze Yuan, Yingda Xia, Xin Chen +10

Gastric cancer is the third leading cause of cancer-related mortality worldwide, but no guideline-recommended screening test exists. Existing methods can be invasive, expensive, an…

eess.IV20231 cited

Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT

Bo Zhou, Yingda Xia, Jiawen Yao +5

Pancreatic cancer is one of the leading causes of cancer-related death. Accurate detection, segmentation, and differential diagnosis of the full taxonomy of pancreatic lesions, i.e…

eess.IV20224 cited

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation

Minfeng Xu, Heng Guo, Jianfeng Zhang +2

Accurate and robust abdominal multi-organ segmentation from CT imaging of different modalities is a challenging task due to complex inter- and intra-organ shape and appearance vari…