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20162024
most citedCross-Modality Deep Feature Learning for Brain Tumor Segmentation

290 citations · 450 across the 28 of their papers we have counts for

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Showing 2023Show all

14 papers · 1 filter

cs.CL202312 cited

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

Tianyang Zhong, Wei Zhao, Yutong Zhang +39

Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels. However, complex and d…

cs.CV2023

Physics Inspired Hybrid Attention for SAR Target Recognition

Zhongling Huang, Chong Wu, Xiwen Yao +3

There has been a recent emphasis on integrating physical models and deep neural networks (DNNs) for SAR target recognition, to improve performance and achieve a higher level of phy…

cs.CV2023

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation

Nian Liu, Kepan Nan, Wangbo Zhao +7

Few-Shot Video Object Segmentation (FSVOS) aims to segment objects in a query video with the same category defined by a few annotated support images. However, this task was seldom…

cs.CL2023

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps

Yaonai Wei, Tuo Zhang, Han Zhang +10

Over decades, neuroscience has accumulated a wealth of research results in the text modality that can be used to explore cognitive processes. Meta-analysis is a typical method that…

cs.CV20232 cited

Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning

Xiang Yuan, Gong Cheng, Kebing Yan +2

The past few years have witnessed the immense success of object detection, while current excellent detectors struggle on tackling size-limited instances. Concretely, the well-known…

cs.CV202364 cited

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Jindong Gu, Zhen Han, Shuo Chen +7

Prompt engineering is a technique that involves augmenting a large pre-trained model with task-specific hints, known as prompts, to adapt the model to new tasks. Prompts can be cre…