Table of Contents

• Robust Multi-modal Registration of Cerebral VasculatureBertram Sabrowsky-Hirsch, Ahmed Alshenoudy, Josef Scharinger, Matthias Gmeiner, Stefan Thumfart, Michael Giretzlehner. 3-18 [doi]
• Towards Segmenting Cerebral Arteries from Structural MRIAhmed Alshenoudy, Bertram Sabrowsky-Hirsch, Josef Scharinger, Stefan Thumfart, Michael Giretzlehner. 19-33 [doi]
• Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity SegmentationBen Philps, Maria del C. Valdés Hernández, Susana Muñoz Maniega, Mark E. Bastin, Eleni Sakka, Una Clancy, Joanna M. Wardlaw, Miguel O. Bernabeu. 34-53 [doi]
• Learning-Based MRI Response Predictions from OCT Microvascular Models to Replace Simulation-Based FrameworksJaloliddin Rustamov, Zahiriddin Rustamov, Nadia Badawi, Frederic Lesage, Nazar Zaki, Rafat Damseh. 54-67 [doi]
• Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random FieldLan Jiang, Yuchao Zheng, Miao Yu, Haiqing Zhang, Fatemah Aladwani, Alessandro Perelli. 68-80 [doi]
• DeepDSMRI: Deep Domain Shift Analyzer for MRIRafsanjany Kushol, Sanjay Kalra, Yee-Hong Yang. 81-95 [doi]
• Self-Supervised Pretraining for Cortical Surface AnalysisDániel Unyi, Bálint Gyires-Tóth. 96-108 [doi]
• Spike Detection in Deep Brain Stimulation Surgery with Convolutional Neural NetworksArkadiusz Nowacki, Ewelina Kolpa, Mateusz Szychiewicz, Konrad Ciecierski, Ewa Niewiadomska-Szynkiewicz. 109-121 [doi]
• Micro-CT Imaging Techniques for Visualising Pinniped Mystacial Pad MusculatureElizabeth Evans, Alyx Elder. 125-141 [doi]
• SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical ImagesKrithika Iyer, Jadie Adams, Shireen Y. Elhabian. 142-157 [doi]
• JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTAZeyu Zhang 0006, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert A. McLaughlin, Jamie Craig, Minh-Son To. 158-172 [doi]
• Identification of Skin Diseases Based on Blind Chromophore Separation and Artificial IntelligenceMustapha Zokay, Hicham Saylani. 173-187 [doi]
• Generating Chest Radiology Report Findings Using a Multimodal MethodChenyu Wang, Vladimir Janjic, Stephen J. McKenna. 188-201 [doi]
• Image Processing and Machine Learning Techniques for Chagas Disease Detection and IdentificationLavdie Rada, Inass Azzawi, Preet Kumar, Carlos Brito-Loeza, Cefa Karabag, Constantino Carlos Reyes-Aldasoro. 202-216 [doi]
• Ensemble Deep Learning Models for Segmentation of Prostate Zonal Anatomy and Pathologically Suspicious AreasJakub Mitura, Rafal Józwiak, Jan Mycka, Ihor Mykhalevych, Michal Gonet, Piotr Sobecki, Tomasz Lorenc, Krzysztof Tupikowski. 217-231 [doi]
• Image Reconstruction for Proton Therapy Range Verification via U-NETsLena M. Setterdahl, William R. B. Lionheart, Sean F. Holman, Kyrre Skjerdal, Hunter N. Ratliff, Kristian Smeland Ytre-Hauge, Danny Lathouwers, Ilker Meric. 232-244 [doi]
• DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical ImagesMohammad Areeb Qazi, Ibrahim Almakky, Anees Ur Rehman Hashmi, Santosh Sanjeev, Mohammad Yaqub. 245-257 [doi]
• PDSE: A Multiple Lesion Detector for CT Images Using PANet and Deformable Squeeze-and-Excitation BlockDi Fan, Heng Yu, Zhiyuan Xu. 258-266 [doi]
• What Is the Best Way to Fine-Tune Self-supervised Medical Imaging Models?Muhammad Osama Khan, Yi Fang 0006. 267-281 [doi]
• RoTIR: Rotation-Equivariant Network and Transformers for Zebrafish Scale Image RegistrationRuixiong Wang, Alin Achim, Renata Raele-Rolfe, Qiao Tong, Dylan Bergen, Chrissy L. Hammond, Stephen Cross. 285-299 [doi]
• GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image SegmentationAyush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitrii I. Kaplun, Ram Sarkar. 300-313 [doi]
• Bounding Box Is All You Need: Learning to Segment Cells in 2D Microscopic Images via Box AnnotationsNabeel Khalid, Maria Caroprese, Gillian Lovell, Daniel A. Porto, Johan Trygg, Andreas Dengel 0001, Sheraz Ahmed. 314-328 [doi]
• Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small DatasetsCraig Myles, In Hwa Um, David J. Harrison, David Harris-Birtill. 329-343 [doi]
• SPADESegResNet: Harnessing Spatially-Adaptive Normalization for Breast Cancer Semantic SegmentationSrijay Deshpande, Durga Parkhi. 344-356 [doi]
• Unsupervised Anomaly Detection on Histopathology Images Using Adversarial Learning and Simulated AnomalyYu-Chen Lai, Wei-Ta Chu. 357-371 [doi]
• Nuclei-Location Based Point Set Registration of Multi-stained Whole Slide ImagesAdith Jeyasangar, Abdullah Alsalemi, Shan-e-Ahmed Raza. 372-386 [doi]
• CellGenie: An End-to-End Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic ImagesNabeel Khalid, Mohammadmahdi Koochali, Duway Nicolas Lesmes Leon, Maria Caroprese, Gillian Lovell, Daniel A. Porto, Johan Trygg, Andreas Dengel 0001, Sheraz Ahmed. 387-401 [doi]
• A Line Is All You Need: Weak Supervision for 2.5D Cell SegmentationFabian Schmeisser, Céline Thomann, Emma Petiot, Gillian Lovell, Maria Caroprese, Andreas Dengel 0001, Sheraz Ahmed. 402-416 [doi]