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ORCIDMIUA 2023: Aberdeen, UK
- Gordon D. Waiter
, Tryphon Lambrou, Georgios Leontidis, Nir Oren, Teresa Morris, Sharon Gordon:
Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023, Proceedings. Lecture Notes in Computer Science 14122, Springer 2024, ISBN 978-3-031-48592-3
Image Interpretation
- Jesse Phitidis, Alison Q. O'Neil, Stewart Wiseman, David Alexander Dickie, Eleni Sakka, Agniete Kampaite, William Whiteley, Miguel O. Bernabeu, Beatrice Alex, Joanna M. Wardlaw, Maria del C. Valdés Hernández:
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. 3-17 - Matthew Gil, Craig Dick, Stephen Harrow, Paul Murray, Gabriel Reines March, Stephen Marshall:
A Deep Learning Based Approach to Semantic Segmentation of Lung Tumour Areas in Gross Pathology Images. 18-32 - Peter E. Salah, Merna Bibars, Ayman Eldeib, Ahmed M. Ghanem, Ahmed M. Gharib, Khaled Z. Abd-Elmoniem, Mustafa A. Elattar, Inas A. Yassine:
Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI. 33-47 - Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte:
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. 48-63 - Samiran Dey, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha, Tapabrata Chakraborti:
BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images. 64-78
Radiomics, Predictive Models and Quantitative Imaging
- Marwan Khaled, Mostafa A. Hammouda, Hesham Ali, Mustafa Elattar, Sahar Selim:
Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer. 81-95 - Merna Bibars, Peter E. Salah, Ayman Eldeib, Mustafa A. Elattar, Inas A. Yassine:
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI. 96-110 - Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean:
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? 111-118 - Aakriti Mishra, A. Ramanathan, Vineet Batta, C. Malathy, Soumya Snigdha Kundu, M. Gayathri, D. Vathana, Srinath Kamineni:
Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Study. 119-132 - Jonathan Campbell, Mitchell Dawson, Andrew Zisserman, Weidi Xie, Christoffer Nellåker:
Deep Facial Phenotyping with Mixup Augmentation. 133-144
Image Classification
- Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong:
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization. 147-156 - Yupeng Zhuo, Nina Jiang, Andrew W. Kirkpatrick, Kyle Couperus, Oanh Tran, Jonah Beck, DeAnna DeVane, Ross Candelore, Jessica L. McKee, Chad Gorbatkin, Eleanor Birch, Christopher Colombo, Bradley Duerstock, Juan P. Wachs:
TON-ViT: A Neuro-Symbolic AI Based on Task Oriented Network with a Vision Transformer. 157-170 - Florent Grélard, Michael Tuck, Elise Cosenza, David Legland, Marlène Durand, Sylvain Miraux, Nicolas Desbenoit:
A New Similarity Metric for Deformable Registration of MALDI-MS and MRI Images. 171-181 - Riddhi Johri, Pankaj Pandey, Krishna Prasad Miyapuram, James Derek Lomas:
Decoding Individual and Shared Experiences of Media Perception Using CNN Architectures. 182-196 - Mostafa A. Hammouda, Marwan Khaled, Hesham Ali, Sahar Selim, Mustafa Elattar:
Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images. 197-214 - Nina Jiang, Yupeng Zhuo, Andrew W. Kirkpatrick, Kyle Couperus, Oanh Tran, Jonah Beck, DeAnna DeVane, Ross Candelore, Jessica L. McKee, Chad Gorbatkin, Eleanor Birch, Christopher Colombo, Bradley Duerstock, Juan P. Wachs:
Baseline Models for Action Recognition of Unscripted Casualty Care Dataset. 215-227
Biomarker Detection
- Hao Chen, Taowen Liu, Songyun Hu, Leyang Yu, Yiqi Li, Sihan Tao, Jacqueline Lee, Ahmed E. Fetit:
Web-Based AI System for Medical Image Segmentation. 231-241 - Mustapha Zokay, Hicham Saylani:
A New Approach for Identifying Skin Diseases from Dermatological RGB Images Using Source Separation. 242-256 - Ama Katseena Yawson, Katharina Maria Paul, Cedric Beyer, Stefan Dorsch, Sebastian Klüter, Thomas Welzel, Katharina Seidensaal, Jürgen Debus, Oliver Jäkel, Kristina Giske:
Pseudo-SPR Map Generation from MRI Using U-Net Architecture for Ion Beam Therapy Application. 257-267 - Christoph Großbröhmer, Mattias P. Heinrich:
Generalised 3D Medical Image Registration with Learned Shape Encodings. 268-280 - Faisal Ahmed, Baris Coskunuzer:
ToFi-ML: Retinal Image Screening with Topological Machine Learning. 281-297 - Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai:
Neural Network Pruning for Real-Time Polyp Segmentation. 298-309 - Eyad Gad, Mustafa Abou Khatwa, Mustafa A. Elattar, Sahar Selim:
A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx. 310-324 - Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub:
Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. 325-337
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