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ORCID3rd DALI@MICCAI 2023: Vancouver, BC, Canada
- Yuan Xue
, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu:
Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14379, Springer 2024, ISBN 978-3-031-58170-0 - Xianze Ai, Zehui Liao, Yong Xia:
URL: Combating Label Noise for Lung Nodule Malignancy Grading. 1-11 - Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu:
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes. 12-22 - Shijie Li, Mengwei Ren, Thomas Ach, Guido Gerig:
Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis. 23-32 - Navid Rabbani, Adrien Bartoli:
A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation. 33-42 - Emmanuel Oladokun, Musa Abdulkareem, Jurica Sprem, Vicente Grau:
Transesophageal Echocardiography Generation Using Anatomical Models. 43-52 - Xianchao Guan, Yifeng Wang, Yiyang Lin, Yongbing Zhang:
Data Augmentation Based on DiscrimDiff for Histopathology Image Classification. 53-62 - Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, Ryan Grech, Hui Lu Goh, Mark Hall, Alison Q. O'Neil:
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data. 63-72 - Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai:
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. 73-83 - Tom van Sonsbeek, Xiantong Zhen, Marcel Worring:
Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. 84-94 - Jorge Badilla-Solórzano, Nils-Claudius Gellrich, Thomas Seel, Sontje Ihler:
Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses. 95-105 - Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi:
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. 106-116 - Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Proportion Estimation by Masked Learning from Label Proportion. 117-126 - Hari Sreedhar, Guillaume P. R. Lajoinie, Charles Raffaelli, Hervé Delingette:
Active Learning Strategies on a Real-World Thyroid Ultrasound Dataset. 127-136 - Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
A Realistic Collimated X-Ray Image Simulation Pipeline. 137-145 - Shaoju Wu, Sila Kurugol, Andy Tsai:
Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse. 146-156 - Mikhail Papkov, Kaupo Palo, Leopold Parts:
Self-supervised Single-Image Deconvolution with Siamese Neural Networks. 157-166
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