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Medicine 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,880개의 결과
Crossing the phantom divide
Hongsheng Zhang
ArXiv.org
|
2009
|
20 회 인용
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Francesco Santini, Jakob Wasserthal 외 12명
arXiv (Cornell University)
|
2023
|
20 회 인용
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
Alceu Bissoto, Fábio Perez 외 4명
arXiv (Cornell University)
|
2018
|
20 회 인용
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
Ce Wang, Kun Shang 외 4명
arXiv (Cornell University)
|
2021
|
20 회 인용
Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder
V.V. Kuznetsov, V. A. Moskalenko 외 1명
ArXiv.org
|
2020
|
20 회 인용
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Luoma Ke, Song Tong 외 2명
arXiv (Cornell University)
|
2024
|
20 회 인용
Few-Shot Diffusion Models
Giorgio Giannone, Didrik Nielsen 외 1명
arXiv (Cornell University)
|
2022
|
20 회 인용
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
Bardienus P. Duisterhof, Srivatsan Krishnan 외 6명
arXiv (Cornell University)
|
2019
|
20 회 인용
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao, Yichi Zhang 외 3명
arXiv (Cornell University)
|
2022
|
20 회 인용
Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
Jirong Yi, Raghu Mudumbai 외 1명
arXiv (Cornell University)
|
2020
|
20 회 인용
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