Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops; MTSAIL 2023, LEAF 20 Jonghye Woo,Alessa Hering,Beno?t P

拿著錫

書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops影響因子(影響力)




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops影響因子(影響力)學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops網(wǎng)絡(luò)公開度




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops被引頻次




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops被引頻次學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops年度引用




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops年度引用學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops讀者反饋




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops讀者反饋學(xué)科排名

昏暗

978-3-031-47424-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

泥瓦匠

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops978-3-031-47425-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

Pathogen

https://doi.org/10.1007/978-3-031-47425-5Artificial Intelligence; Computer Vision; Machine Learning; Medical Imaging; Explainability; Privacy-Pres

加劇

hieroglyphic

FusionNet: A Frame Interpolation Network for?4D Heart Modelsperimental evaluation of the proposed FusionNet model showed that it achieved a performance of over 0.897 in terms of the Dice coefficient, confirming that it can recover shapes more precisely than existing methods. This code is available at: ..

甜食

Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from?PET Imagesly. The model is trained and evaluated on a private prospective multicentric dataset of 583 patients. Experimental results show that our proposed method outperforms classical supervised methods based on either clinical, imaging or both clinical and imaging data for the 2-year progression-free survival (PFS) classification accuracy.

Mindfulness

0302-9743 Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. .The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops...The papers

Autobiography

Conference proceedings 2023puting and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. .The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops...The papers of the wo

FLORA

Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transforre named Reconstruction Swin Transformer (RST) for 4D MRI. RST inherits the backbone design of the Video Swin Transformer with a novel reconstruction head introduced to restore pixel-wise intensity. A convolution network called SADXNet is used for rapid initialization of 2D MR frames before RST lear