Abstract is missing.
- Increasing the Accessibility of Peripheral Artery Disease Screening with Deep LearningAdrit Rao, Oliver Aalami. 1-7 [doi]
- Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTAFilip Malawski, Jaroslaw Goslinski, Mikolaj Stryja, Katarzyna Jesionek, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa. 8-17 [doi]
- Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims DataDaniel Lopez Martinez, Christina Chen, Ming-Jun Chen. 18-28 [doi]
- Uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus AutofluorescenceQi Yang, Neha Anegondi, Verena Steffen, Simon S. Gao, Julia Cluceru, Christina Rabe, Jian Dai, Daniela Ferrara. 29-38 [doi]
- Automated Assessment of Renal Calculi in Serial Computed Tomography ScansPritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers. 39-48 [doi]
- Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep LearningLaia Humbert-Vidan, Vinod Patel, Robin Andlauer, Andrew P. King, Teresa Guerrero Urbano. 49-58 [doi]
- Analysis of Potential Biases on Mammography Datasets for Deep Learning Model DevelopmentBlanca Zufiria, Karen López-Linares, María Jesús García González, Kristin May Rebescher, Iván Lalaguna, Esther Albertín, Maria B. Cimadevila, Javier Garcia, María J. Ledesma-Carbayo, Iván Macía. 59-67 [doi]
- ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial NetworksKhondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma. 68-78 [doi]
- CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image AnalysisMaría Jesús García González, Rodrigo Cilla Ugarte, Blanca Zufiria Gerbolés, Kristin May Rebescher, Esther Albertin Marco, Iván Lalaguna, Javier García Navas, Maria Blanca Cimadevila Alvarez, Iván Macía Oliver, Karen López-Linares Román, Valery Naranjo Ornedo. 79-87 [doi]
- Was that so Hard? Estimating Human Classification DifficultyMorten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen. 88-97 [doi]
- A Deep Learning-Based Interactive Medical Image Segmentation FrameworkIvan Mikhailov, Benoit Chauveau, Nicolas Bourdel, Adrien Bartoli. 98-107 [doi]
- Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological ImagesAmirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh. 108-117 [doi]
- Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRIHyunseok Seo, Seohee So, Sojin Yun, Seokjun Lee, Jiseong Barg. 118-127 [doi]
- The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer LocalisationWen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu. 128-138 [doi]
- OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest RadiographsGunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi. 139-149 [doi]
- Wavelet Guided 3D Deep Model to Improve Dental Microfracture DetectionPranjal Sahu, Jared Vicory, Matt McCormick 0001, Asma Khan, Hassem Geha, Beatriz Paniagua. 150-160 [doi]