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ML-CDS/CLIP@MICCAI 2020: Lima, Peru
- Tanveer F. Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt:
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12445, Springer 2020, ISBN 978-3-030-60945-0
CLIP 2020
- Prashant U. Pandey
, Pierre Guy, Kelly A. Lefaivre, Antony J. Hodgson:
Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws. 3-12 - Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. 13-23 - Mumu Aktar
A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography. 24-33 - Igor Varga
Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement. 34-43 - Jonas Bianchi
3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research. 44-53 - David Z. Li, Masaru Ishii, Russell H. Taylor, Gregory D. Hager, Ayushi Sinha:
Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision. 54-63 - Florian Karner, Christina Gsaxner
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. 64-74 - Jianning Li
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. 75-84 - Lyndon S. Hibbard:
Adversarial Prediction of Radiotherapy Treatment Machine Parameters. 85-94
ML-CDS 2020
- Theresa Neubauer
Soft Tissue Sarcoma Co-segmentation in Combined MRI and PET/CT Data. 97-105 - Tom van Sonsbeek, Marcel Worring
Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays. 106-114 - Laura Alexandra Daza, Angela Castillo, María Escobar
LUCAS: LUng CAncer Screening with Multimodal Biomarkers. 115-124 - Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer:
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. 125-135
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