From the 5 of 131 papers with an AI index.
38 citations
- The University of TokyoJP45 papers
- Kyoto UniversityJP35 papers
- Université Paris CitéFR27 papers
- Université Paris-SaclayFR27 papers
- Universidad Autónoma de MadridES25 papers
- University College LondonGB25 papers
- University of BolognaIT25 papers
- University of Rome Tor VergataIT25 papers
- Centre National de la Recherche ScientifiqueFR24 papers
- University of PisaIT24 papers
- High Energy Accelerator Research OrganizationJP23 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT23 papers
5 papers · 1 filter
Generative AI and Foundation Models in Medical Image
Masahiro Oda
In recent years, generative AI has attracted significant public attention, and its use has been rapidly expanding across a wide range of domains. From creative tasks such as text s…
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, c…
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of chest CT volumes based on likelihood of COVID-19 cases. Novel coronavirus disease 2019 (COVID-19) spreads over the world,…
PlantPose: Universal Plant Skeleton Estimation via Tree-constrained Graph Generation
Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1
Accurate estimation of plant skeletal structures (e.g., branching structures) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed to…
Multi-proposal Collaboration and Multi-task Training for Weakly-supervised Video Moment Retrieval
Bolin Zhang, Chao Yang, Bin Jiang +2
This study focuses on weakly-supervised Video Moment Retrieval (VMR), aiming to identify a moment semantically similar to the given query within an untrimmed video using only video…