Table of Contents

• Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical ImagingLukas Zerweck, Stefan Wesarg, Jörn Kohlhammer, Michaela Köhm. 3-11 [doi]
• Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head PriorsOded Schlesinger, Raj Kundu, Stefan M. Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino. 12-20 [doi]
• Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative PlanningJeffry Hartanto, Wee Kheng Leow, Andy Khye Soon Yew, Joyce Suang Bee Koh, Tet Sen Howe. 21-31 [doi]
• Towards Fine-Grained Polyp Segmentation and ClassificationYael Tudela, Ana García-Rodríguez, Gloria Fernández-Esparrach, Jorge Bernal. 32-42 [doi]
• Automated Orientation and Registration of Cone-Beam Computed Tomography ScansLuc Anchling, Nathan Hutin, Yanjie Huang, Selene Barone, Sophie Roberts, Felicia Miranda, Marcela Gurgel, Najla Al Turkestani, Sara Tinawi, Jonas Bianchi, Marilia Yatabe, Antonio C. Ruellas, Juan-Carlos Prieto, Lucia H. S. Cevidanes. 43-58 [doi]
• Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical TranslationNitzan Avidan, Moti Freiman. 59-69 [doi]
• Uncertainty Based Border-Aware Segmentation Network for Deep CariesGayeon Kim, Yufei Chen, Shuai Qi, Yujie Fu, Qi Zhang. 70-80 [doi]
• An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological ImagesGuy Shani, Moti Freiman, Yosef E. Maruvka. 81-88 [doi]
• De-identification and Obfuscation of Gender Attributes from Retinal ScansChenwei Wu 0006, Xiyu Yang, Emil Ghitman Gilkes, Hanwen Cui, Jiheon Choi, Na Sun, Ziqian Liao, Bo Fan, Mauricio Santillana, Leo Celi, Paolo Silva, Luis Nakayama. 91-101 [doi]
• Unveiling Fairness Biases in Deep Learning-Based Brain MRI ReconstructionYuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris. 102-111 [doi]
• Brain Matters: Exploring Bias in AI for Neuroimaging ResearchSophie A. Martin, Francesca Biondo, James H. Cole, Beatrice Taylor. 112-121 [doi]
• Bias in Unsupervised Anomaly Detection in Brain MRICosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King. 122-131 [doi]
• Towards Unraveling Calibration Biases in Medical Image AnalysisMaría Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste. 132-141 [doi]
• Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen. 142-152 [doi]
• Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation TaskRebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali. 153-162 [doi]
• Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers Through Pruning of Deep Neural NetworksYun-Yang Huang, Venesia Chiuwanara, Chao-Hsuan Lin, Po-Chih Kuo. 163-171 [doi]
• Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's DiseaseVien Ngoc Dang, Adrià Casamitjana, Martijn P. A. Starmans, Carlos Martín-Isla, Jerónimo Hernández-González, Karim Lekadir, Alzheimer's Disease Neuroimaging Initiative. 172-182 [doi]
• Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and LimitationsNilesh Kumar, Ruby Shrestha, Zhiyuan Li 0007, Linwei Wang. 183-193 [doi]
• Analysing Race and Sex Bias in Brain Age PredictionCarolina Piçarra, Ben Glocker. 194-204 [doi]
• Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR ImagingMahsa Dibaji, Neha Gianchandani, Akhil Nair, Mansi Singhal, Roberto Souza 0001, Mariana P. Bento. 205-214 [doi]
• An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR SegmentationTiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King. 215-224 [doi]
• An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics FeaturesMohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King. 225-234 [doi]
• How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI AnalysisDewinda Julianensi Rumala. 235-245 [doi]
• Revisiting Skin Tone Fairness in Dermatological Lesion ClassificationThorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala. 246-255 [doi]
• A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia SubtypesArio Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr. 256-265 [doi]
• Unsupervised Bias Discovery in Medical Image SegmentationNicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante. 266-275 [doi]
• Debiasing Counterfactuals in the Presence of Spurious CorrelationsAmar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel. 276-286 [doi]
• On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health EquityRaissa Souza, Emma A. M. Stanley, Nils D. Forkert. 289-300 [doi]
• Gradient-Based Enhancement Attacks in Biomedical Machine LearningMatthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost. 301-312 [doi]