Medical Image Learning with Limited and Noisy Data
Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
Clinical Image-Based Procedures
11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
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Chapter and Conference Paper
Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution
Brain tumor segmentation in MRI offers critical quantitative imaging data to characterize and improve prognosis. The International Brain Tumor Segmentation (BraTS) Challenge provides a unique opportunity to en...
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Chapter and Conference Paper
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings
Rheumatic heart disease (RHD) is a common medical condition in children in which acute rheumatic fever causes permanent damage to the heart valves, thus impairing the heart’s ability to pump blood. Doppler ech...
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Chapter and Conference Paper
Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization
Automatic anatomical segmentation and landmark localization in medical images are important tasks during craniofacial analysis. While deep neural networks have been recently applied to segment cranial bones an...
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Book and Conference Proceedings
Medical Image Learning with Limited and Noisy Data
First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
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Chapter and Conference Paper
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity
Congenital hydronephrosis, which is the dilatation of the renal collecting system, is common in children, resolving in most and treatable in the remaining 25%. Sonography is routinely used for hydronephrosis d...
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Book and Conference Proceedings
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
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Book and Conference Proceedings
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
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Chapter and Conference Paper
Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation
Deep learning strategies have become ubiquitous optimization tools for medical image analysis. With the appropriate amount of data, these approaches outperform classic methodologies in a variety of image proce...
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Book and Conference Proceedings
Adolescent Brain Cognitive Development Neurocognitive Prediction
First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
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Book and Conference Proceedings
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
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Chapter and Conference Paper
Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes
Facial analysis from photography supports the early identification of genetic syndromes, but clinically-acquired uncalibrated images suffer from image pose and illumination variability. Although 3D photograph...
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Chapter and Conference Paper
Communal Domain Learning for Registration in Drifted Image Spaces
Designing a registration framework for images that do not share the same probability distribution is a major challenge in modern image analytics yet trivial task for the human visual system (HVS). Discrepancie...
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Chapter and Conference Paper
Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data
This paper proposes a spatiotemporal statistical shape model of a pediatric liver, which has potential applications in computer-aided diagnosis of the abdomen. Shapes are analyzed in the space of a level set f...
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Book and Conference Proceedings
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
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Chapter and Conference Paper
Analysis of 3D Facial Dysmorphology in Genetic Syndromes from Unconstrained 2D Photographs
The quantification of facial dysmorphology is essential for the detection and diagnosis of genetic conditions. Facial analysis benefits from 3D image data, but 2D photography is more widely available at clini...
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Chapter and Conference Paper
Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery
The outcome of cranial vault reconstruction for the surgical treatment of craniosynostosis heavily depends on the surgeon’s expertise because of the lack of an objective target shape. We introduce a surface-ba...
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Book and Conference Proceedings
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures
4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
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Chapter and Conference Paper
Intracranial Volume Quantification from 3D Photography
3D photography offers non-invasive, radiation-free, and anesthetic-free evaluation of craniofacial morphology. However, intracranial volume (ICV) quantification is not possible with current non-invasive imagin...
