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09/21/2023
AceGPT, Localizing Large Language Models in Arabic
This paper explores the imperative need and methodology for developing a...
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09/03/2023
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Colonoscopy analysis, particularly automatic polyp segmentation and dete...
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08/21/2023
Large Language Model as a User Simulator
The unparalleled performance of closed-sourced ChatGPT has sparked effor...
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08/17/2023
CMB: A Comprehensive Medical Benchmark in Chinese
Large Language Models (LLMs) provide a possibility to make a great break...
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07/21/2023
Advancing Visual Grounding with Scene Knowledge: Benchmark and Method
Visual grounding (VG) aims to establish fine-grained alignment between v...
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07/21/2023
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
Parameter Efficient Tuning (PET) has gained attention for reducing the n...
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06/06/2023
On the Difference of BERT-style and CLIP-style Text Encoders
Masked language modeling (MLM) has been one of the most popular pretrain...
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05/24/2023
HuatuoGPT, towards Taming Language Model to Be a Doctor
In this paper, we present HuatuoGPT, a large language model (LLM) for me...
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05/24/2023
Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous Substitution
Pre-trained language models (PLMs) were considered to be able to store r...
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05/23/2023
Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors
ChatGPT has stimulated the research boom in the field of large language ...
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05/02/2023
Huatuo-26M, a Large-scale Chinese Medical QA Dataset
In this paper, we release a largest ever medical Question Answering (QA)...
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04/20/2023
Phoenix: Democratizing ChatGPT across Languages
This paper presents our efforts to democratize ChatGPT across language. ...
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02/22/2023
Structure Embedded Nucleus Classification for Histopathology Images
Nuclei classification provides valuable information for histopathology i...
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02/17/2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Medical vision-and-language pre-training (Med-VLP) has shown promising i...
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01/12/2023
Lesion-aware Dynamic Kernel for Polyp Segmentation
Automatic and accurate polyp segmentation plays an essential role in ear...
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12/20/2022
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework
Recently deep neural networks, which require a large amount of annotated...
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12/20/2022
Document-level Relation Extraction with Relation Correlations
Document-level relation extraction faces two overlooked challenges: long...
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09/20/2022
View-Disentangled Transformer for Brain Lesion Detection
Deep neural networks (DNNs) have been widely adopted in brain lesion det...
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09/19/2022
Attentive Symmetric Autoencoder for Brain MRI Segmentation
Self-supervised learning methods based on image patch reconstruction hav...
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09/15/2022
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Medical vision-and-language pre-training (Med-VLP) has received consider...
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07/21/2022
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration
Weakly Supervised Object Localization (WSOL), which aims to localize obj...
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06/21/2022
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Integrating multi-modal data to improve medical image analysis has recei...
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06/16/2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Despite the considerable progress in automatic abdominal multi-organ seg...
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04/28/2022
Cross-modal Memory Networks for Radiology Report Generation
Medical imaging plays a significant role in clinical practice of medical...
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04/01/2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
The impression section of a radiology report summarizes the most promine...
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01/19/2022
WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking
In this work, we contribute a new million-scale Unmanned Aerial Vehicle ...
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12/18/2021
Word Graph Guided Summarization for Radiology Findings
Radiology reports play a critical role in communicating medical findings...
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08/11/2021
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
Medical imaging technologies, including computed tomography (CT) or ches...
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07/09/2021
Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference
Automatic segmentation of hepatocellular carcinoma (HCC)in Digital Subtr...
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04/27/2021
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Non-negative matrix factorization (NMF) is a powerful tool for dimension...
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12/22/2020
Regularity and finite element approximation for two-dimensional elliptic equations with line Dirac sources
We study the elliptic equation with a line Dirac delta function as the s...
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11/25/2020
Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Most deep neural networks (DNNs) based ultrasound (US) medical image ana...
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11/02/2020
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
With the development of radiomics, noninvasive diagnosis like ultrasound...
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10/30/2020
Generating Radiology Reports via Memory-driven Transformer
Medical imaging is frequently used in clinical practice and trials for d...
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10/29/2020
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Named entity recognition (NER) is highly sensitive to sentential syntact...
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10/29/2020
Named Entity Recognition for Social Media Texts with Semantic Augmentation
Existing approaches for named entity recognition suffer from data sparsi...
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10/12/2020
Detecting the skewness of data from the sample size and the five-number summary
For clinical studies with continuous outcomes, when the data are potenti...
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09/09/2020
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification
Ultrasound (US) is a non-invasive yet effective medical diagnostic imagi...
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04/30/2018
Joint Analysis of Individual-level and Summary-level GWAS Data by Leveraging Pleiotropy
A large number of recent genome-wide association studies (GWASs) for com...
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01/29/2018