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ORCID28th MIUA 2024: Manchester, UK - Part II
- Moi Hoon Yap
, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar:
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, Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Muhammad Moazam Fraz:
Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data. 3-18 - Mohsin Ali, Moin Hassan, Esra Konsa, John Q. Gan, Akhilanand Chaurasia, Haider Raza:
Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. 19-32 - James M. Burlison, Michael A. Bowes, Philip G. Conaghan, Alan D. Brett:
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, Timothy F. Cootes:
Analysis of Leg Bones from Whole Body DXA in the UK Biobank. 58-71 - Ryan Banks, Bernat Rovira-Lastra, Jordi Martinez-Gomis, Akhilanand Chaurasia, Yunpeng Li:
H-FCBFormer: Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper. 72-86
Enhancing Low-Quality Medical Images
- Vahit Bugra Yesilkaynak, Vanessa Gonzalez Duque, Magdalena Wysocki, Yordanka Velikova, Diana Mateus, Nassir Navab:
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, Chao Jiang, Jing Li, Gaoxiang Ouyang:
SA-GCN: Scale Adaptive Graph Convolutional Network for ASD Identification. 112-126 - Lu Liu, Raymond N. J. Veldhuis, Christoph Brune:
Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. 127-142 - Yamin Li, Yu Duan, Liu Duan, Wen Xiang, Qifeng Wu:
YOLO-TL: A Tiny Object Segmentation Framework for Low Quality Medical Images. 143-159 - Sophia W. Bardenfleth, Vedrana Andersen Dahl, Chiara Villa, Galateia Kazakia, Anders B. Dahl:
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, Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. 187-201 - Dalia Rodríguez-Salas, Christian Riess, Celia Martín Vicario, Oliver Taubmann, Hendrik Ditt, Stefan Schwab, Arnd Dörfler:
Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy. 202-215 - Jiahua Li, James T. Grist, Fergus V. Gleeson, Bartlomiej W. Papiez:
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. 216-226 - Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil:
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. 227-241 - Sambit Tarai, Elin Lundström, Johan Öfverstedt, Hanna Jönsson, Nouman Ahmad, Håkan Ahlström, Joel Kullberg:
Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis. 242-255 - Bishnu Paudel, Reyer Zwiggelaar, Otar Akanyeti:
Expert Model Prediction Through Feature Matching. 256-269 - Jonathan Campbell, Claudia Vanea, Liis Salumäe, Karen Meir, Drorith Hochner-Celnikier, Hagit Hochner, Triin Laisk, Linda M. Ernst, Cecilia M. Lindgren, Weidi Xie, Christoffer Nellåker:
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, John Q. Gan, Haider Raza:
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, Bill Cassidy, Claire O'Shea, Joseph M. Pappachan, Moi Hoon Yap:
The Effect of Image Preprocessing Algorithms on Diabetic Foot Ulcer Classification. 336-352 - Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Synthetic Balancing of Cardiac MRI Datasets. 353-365 - Isabella Galter, Elida Schneltzer, Carsten Marr, IMPC Consortium, Nadine Spielmann, Martin Hrabé de Angelis:
EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning. 366-381 - Allison Clement, Abhinav Singh, Daniel C. Perry, Irina Voiculescu:
Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss. 382-397 - Zhiyan Bo, Laura C. Coates, Bartlomiej W. Papiez:
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis. 398-413 - William Cancino, Carlos Hernan Becerra-Mojica, Said Pertuz:
Radiomic Analysis of Transvaginal Ultrasound Cervical Images for Prediction of Preterm Birth. 414-424 - Muhammad Moazzam Jawaid, Rasneer Sonia Bains, Sara Wells, James M. Brown:
Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice. 425-437
MIUA 2023 Paper
- Esmeralda Ruiz Pujadas, Nay Aung, Liliana Szabo, Zahra Raisi-Estabragh, Marina Camacho, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir:
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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