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28th MIUA 2024: Manchester, UK - Part II
- Moi Hoon Yap
, Connah Kendrick
Medical Image Understanding and Analysis - 28th Annual Conference, MIUA 2024, Manchester, UK, July 24-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14860, Springer 2024, ISBN 978-3-031-66957-6
Dental and Bone Imaging
- Reeha Khan
Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data. 3-18 - Mohsin Ali
Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. 19-32 - James M. Burlison
3D Bone Shape from CT-Scans Provides an Objective Measure of Osteoarthritis Severity: Data from the IMI-APPROACH Study. 33-41 - Mohd Faraz Shaikh, Eren Bora Yilmaz, O. Mercy Akinloye, Sandra Freitag-Wolf, Srinivas Kachavarapu, Nicolai R. Krekiehn, Claus-Christian Glüer, Eric Orwoll, Carsten Meyer:
CNN-Based Osteoporotic Vertebral Fracture Prediction and Risk Assessment on MrOS CT Data: Impact of CNN Model Architecture. 42-57 - Faten Alomar
Analysis of Leg Bones from Whole Body DXA in the UK Biobank. 58-71 - Ryan Banks
H-FCBFormer: Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper. 72-86
Enhancing Low-Quality Medical Images
- Vahit Bugra Yesilkaynak
Ultrasound Confidence Maps with Neural Implicit Representation. 89-100 - Qiuyu Xiao, Dong Nie:
Blurry Boundary Segmentation with Semantic-Aware Feature Learning. 101-111 - Jinbei Zhang
SA-GCN: Scale Adaptive Graph Convolutional Network for ASD Identification. 112-126 - Lu Liu
Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. 127-142 - Yamin Li
YOLO-TL: A Tiny Object Segmentation Framework for Low Quality Medical Images. 143-159 - Sophia W. Bardenfleth
Superresolution of Real-World Multiscale Bone CT Verified with Clinical Bone Measures. 160-173 - Klara Bas, Christian Lambert, John Ashburner
Reconstructing MRI Parameters Using a Noncentral Chi Noise Model. 174-184
Domain Adaptation and Generalisation
- Jay N. Paranjape
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. 187-201 - Dalia Rodríguez-Salas
Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy. 202-215 - Jiahua Li
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. 216-226 - Jesse Phitidis
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. 227-241 - Sambit Tarai
Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis. 242-255 - Bishnu Paudel
Expert Model Prediction Through Feature Matching. 256-269 - Jonathan Campbell
Enhancing Cross-Institute Generalisation of GNNs in Histopathology Through Multiple Embedding Graph Augmentation (MEGA). 270-284 - Xudong Ma, Nantheera Anantrasirichai, Stefanos Bolomytis, Alin Achim:
PMT: Partial-Modality Translation Based on Diffusion Models for Prostate Magnetic Resonance and Ultrasound Image Registration. 285-297 - Qiuyu Xiao, Dong Nie:
Fine-Grained Medical Image Synthesis with Dual-Attention Adversarial Learning. 298-306
Dermatology, Cardiac Imaging and Other Medical Imaging
- Rahmat Izwan Heroza
Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. 309-322 - Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis G. Sarigiannidis:
Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. 323-335 - Njideka Chiamaka Okafor
The Effect of Image Preprocessing Algorithms on Diabetic Foot Ulcer Classification. 336-352 - Carles García-Cabrera
Synthetic Balancing of Cardiac MRI Datasets. 353-365 - Isabella Galter
EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning. 366-381 - Allison Clement
Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss. 382-397 - Zhiyan Bo
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis. 398-413 - William Cancino
Radiomic Analysis of Transvaginal Ultrasound Cervical Images for Prediction of Preterm Birth. 414-424 - Muhammad Moazzam Jawaid
Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice. 425-437
MIUA 2023 Paper
- Esmeralda Ruiz Pujadas
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. 441-453
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