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Medicine 논문 리뷰
Medicine 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,880개의 결과
Toward Personalized Training and Skill Assessment in Robotic Minimally Invasive Surgery
Mahtab J. Fard, Sattar Ameri 외 1명
arXiv (Cornell University)
|
2016
|
3 회 인용
Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
Juan Manuel Zambrano Chaves, Shih-Cheng Huang 외 25명
arXiv (Cornell University)
|
2024
|
3 회 인용
Towards Democratization of Subspeciality Medical Expertise
Jack W. O’Sullivan, Anil Palepu 외 24명
arXiv (Cornell University)
|
2024
|
3 회 인용
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez, José Dolz 외 1명
arXiv (Cornell University)
|
2023
|
3 회 인용
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
Kai Huang, Hanyun Yin 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Towards LLM-based Autograding for Short Textual Answers
Johannes Schneider, Bernd Schenk 외 1명
arXiv (Cornell University)
|
2023
|
3 회 인용
Towards Ultrasound Tongue Image prediction from EEG during speech production
Tamás Gábor Csapó, Frigyes Viktor Arthur 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Towards Wide Learning: Experiments in Healthcare
Snehasis Banerjee, Tanushyam Chattopadhyay 외 5명
arXiv (Cornell University)
|
2016
|
3 회 인용
TractOracle: towards an anatomically-informed reward function for RL-based tractography
Antoine Théberge, Maxime Descoteaux 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions
Grant Sinha, Krish Parmar 외 5명
arXiv (Cornell University)
|
2023
|
3 회 인용
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