TY - BOOK AU - Xu,Xinxing AU - Li,Xiaomeng AU - Mahapatra,Dwarikanath AU - Cheng,Li AU - Petitjean,Caroline AU - Fu,Huazhu TI - Resource-Efficient Medical Image Analysis: First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings T2 - Lecture Notes in Computer Science, SN - 9783031168765 U1 - 006 23 PY - 2022/// CY - Cham PB - Springer Nature Switzerland, Imprint: Springer KW - Image processing-Digital techniques KW - Computer vision KW - Artificial intelligence KW - Education-Data processing KW - Social sciences-Data processing KW - Computer Imaging, Vision, Pattern Recognition and Graphics KW - Artificial Intelligence KW - Computers and Education KW - Computer Application in Social and Behavioral Sciences N1 - Multi-Task Semi-Supervised Learning for Vascular Network -- Segmentation and Renal Cell Carcinoma Classification -- Self-supervised Antigen Detection Artificial Intelligence (SANDI) -- RadTex: Learning Effcient Radiograph Representations from Text Reports -- Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification -- Triple-View Feature Learning for Medical Image Segmentation -- Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Effciency -- An Effcient Defending Mechanism Against Image Attacking On Medical Image Segmentation Models -- Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning -- Pathological Image Contrastive Self-Supervised Learning -- Investigation of Training Multiple Instance Learning Networks with Instance Sampling -- Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound -- A self-attentive meta-learning approach for image-based few-shot disease detection -- Facing Annotation Redundancy: OCT Layer Segmentation with Only 10 Annotated Pixels Per Layer N2 - This book constitutes the refereed proceedings of the first MICCAI Workshop on Resource-Efficient Medical Image Analysis, REMIA 2022, held in conjunction with MICCAI 2022, in September 2022 as a hybrid event. REMIA 2022 accepted 13 papers from the 19 submissions received. The workshop aims at creating a discussion on the issues for practical applications of medical imaging systems with data, label and hardware limitations UR - https://doi.org/10.1007/978-3-031-16876-5 ER -