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ORCID29th MIUA 2025: Leeds, UK - Part III
- Sharib Ali
, David C. Hogg, Michelle Peckham:
Medical Image Understanding and Analysis - 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15918, Springer 2026, ISBN 978-3-031-98693-2
Medical Image Segmentation
- Subhashis Kar, Souradeep Mukhopadhyay, Shreyan Kundu, Debesh Jha, Rammohan Mallipeddi:
TransE2UNet: Edge Guided TransEfficientUNET for Generalized Colon Polyp Segmentation from Endoscopy Images. 3-16 - Yunxiang Liu, Johan Verjans, Vu Minh Hieu Phan, Zhibin Liao:
CA-Seg: An Attribute-Based Medical Image Segmentation Framework for Unified Out-of-Distribution Medical Image Segmentation. 17-31 - Bertram Sabrowsky-Hirsch, Ahmed Alshenoudy, Stefan Thumfart, Michael Giretzlehner:
TotalSegmentator 2D: A Tool for Rapid Anatomical Structure Analysis. 32-43 - Lynn Karam, Yipei Wang, Veeru Kasivisvanathan, Mirabela Rusu, Yipeng Hu, Shaheer U. Saeed:
Promptable Cancer Segmentation Using Minimal Expert-Curated Data. 44-58 - Catalina Tan, Yipeng Hu, Shaheer U. Saeed:
SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours. 59-72 - Yeva Gabrielyan, Varduhi Yeghiazaryan, Irina Voiculescu:
Semantic Segmentation with Spreading Scribbles. 73-87 - Elzbieta Budginaite, Derek R. Magee, Maximilian Kloft, Matthew Nankivell, Ruth E. Langley, David Cunningham, William H. Allum, Gayatri Raghuram, Takaki Yoshikawa, Takashi Oshima, Henry C. Woodruff, Heike Irmgard Grabsch:
A Hybrid Transformer-Graph Model for Multi-Class Lymph Node Segmentation in Histopathology. 88-101 - Arvapalli Sai Susmitha, Vinay P. Namboodiri:
Exploring Context-Switching in Medical Image Retrieval Using Segmentation Models. 102-114 - Aashay Tinaikar, Nitin Singhal:
Segmentation in Histopathology Utilising Simulated Masked Patches. 115-128 - Faye Warren, Stephen Paisey, Emiliano Spezi, Yu-Kun Lai, Rhodri Smith:
A Feature-Driven Acquisition Strategy Using Scale-Invariant Descriptors for Deep Active Learning in Preclinical CT Segmentation. 129-145 - Johannes Schuiki, Markus Steiner, Heinz Hofbauer, Stephan Drothler, Giulia Pessina, Richard Greil, Nadja Zaborsky, Andreas Uhl:
Quantifying Inter-annotator Agreement and Generalist Model Limitations in Imaging Mass Cytometry Single Cell Segmentation. 146-159 - Augustine X. W. Lee, Pak-Hei Yeung, Jagath C. Rajapakse:
Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer. 160-174 - Utathya Aich, Ritabrata Roy, Alexander Eroshkin, Dmitrii I. Kaplun, Ram Sarkar:
DRASU-Net: Dual-Backbone and Residual Atrous Squeeze Module-Aided U-Net Model for Polyp Segmentation. 175-189 - Mansoor Ali Teevno, Raneem Toman, Gilberto Ochoa-Ruiz, Sharib Ali:
PolypDINO: Adapting DINOv2 for Domain Generalized Polyp Segmentation. 190-203 - James Borgars, Jibran Raja, Abhinav Ramakrishnan, Abdul Karim Abbas, Aodhan Gallagher, Ahmad Najmi Mohamad Shahir, Theodora Vraimakis, Sharib Ali:
Intraoperative Segmentation Through Deep Learning and Mask Post-processing in Laparoscopic Liver Surgery. 204-218
Retinal and Vascular Image Analysis
- Benjamin Chivet, Noémie Debroux, Manuel Grand-Brochier, Antoine Vacavant:
Hessian-Based Deep Retinal Vessel Segmentation with Extremely Few Annotations. 221-236 - Dominika Iwanicka, Ping Lu:
Diffusion with Adversarial Fine-Tuning for Improving Rare Retinal Disease Diagnosis. 237-250 - Christoph Balada, Aida Romano-Martinez, Vincent ten Cate, Katharina Geschke, Jonas Tesarz, Paul Claßen, Alexander K. Schuster, Dativa Tibyampansha, Karl-Patrik Kresoja, Philipp S. Wild, Sheraz Ahmed, Andreas Dengel:
Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage. 251-265 - Hao Wu, Sonit Singh, Ramtin Gharleghi, Arcot Sowmya, Susann Beier:
Enhanced Coronary Artery Segmentation in CTCA Using Bridging Centreline Integration. 266-278 - Ashutosh Kumar, Manisha Verma:
QD-RetNet: Efficient Retinal Disease Classification via Quantized Knowledge Distillation. 279-292 - Zuzanna Skorniewska, Bartlomiej W. Papiez:
Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis. 293-305 - Aimon Rahman, Kemar E. Green, Vishal M. Patel:
GenVOG: A Diffusion Probabilistic Framework for Patient-Independent Pose-Guided Nystagmus Video-Oculography (VOG) Generation. 306-316 - Ikboljon Sobirov, Cheng Xie, Muhammad Siddique, Parijat Patel, Kenneth Chan, Thomas Halborg, Christos Kotanidis, Zarqaish Fatima, Henry West, Sheena Thomas, Maria Lyasheva, Donna Alexander, David Adlam, Praveen Rao, Das Indrajeet, Aparna Deshpande, Amrita Bajaj, Jonathan C. L. Rodrigues, Benjamin J. Hudson, Vivek Srivastava, George Krasopoulos, Rana Sayeed, Qiang Zhang, Pete Tomlins, Cheerag Shirodaria, Keith M. Channon, Stefan Neubauer, Charalambos Antoniades, Mohammad Yaqub:
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans. 317-331
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