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Publication search results
found 25 matches
- 2024
- 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 [contents] - 2023
- Faisal Ahmed, Baris Coskunuzer:
ToFi-ML: Retinal Image Screening with Topological Machine Learning. MIUA 2023: 281-297 - 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. MIUA 2023: 96-110 - Jonathan Campbell, Mitchell Dawson, Andrew Zisserman, Weidi Xie, Christoffer Nellåker:
Deep Facial Phenotyping with Mixup Augmentation. MIUA 2023: 133-144 - 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. MIUA 2023: 231-241 - Samiran Dey, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha, Tapabrata Chakraborti:
BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images. MIUA 2023: 64-78 - 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. MIUA 2023: 310-324 - 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. MIUA 2023: 18-32 - 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. MIUA 2023: 171-181 - Christoph Großbröhmer, Mattias P. Heinrich:
Generalised 3D Medical Image Registration with Learned Shape Encodings. MIUA 2023: 268-280 - 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. MIUA 2023: 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. MIUA 2023: 215-227 - Riddhi Johri, Pankaj Pandey, Krishna Prasad Miyapuram, James Derek Lomas:
Decoding Individual and Shared Experiences of Media Perception Using CNN Architectures. MIUA 2023: 182-196 - Marwan Khaled, Mostafa A. Hammouda, Hesham Ali, Mustafa Elattar, Sahar Selim:
Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer. MIUA 2023: 81-95 - Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte:
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. MIUA 2023: 48-63 - 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. MIUA 2023: 119-132 - 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. MIUA 2023: 3-17 - 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. MIUA 2023: 33-47 - Suman Sapkota, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai:
Neural Network Pruning for Real-Time Polyp Segmentation. MIUA 2023: 298-309 - Ikboljon Sobirov, Numan Saeed, Mohammad Yaqub:
Super Images - A New 2D Perspective on 3D Medical Imaging Analysis. MIUA 2023: 325-337 - Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean:
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? MIUA 2023: 111-118 - Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong:
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization. MIUA 2023: 147-156 - 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. MIUA 2023: 257-267 - 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. MIUA 2023: 157-170 - Mustapha Zokay, Hicham Saylani:
A New Approach for Identifying Skin Diseases from Dermatological RGB Images Using Source Separation. MIUA 2023: 242-256
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