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ORCID1st AMAI@MICCAI 2022: Singapore
- Shandong Wu, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13540, Springer 2022, ISBN 978-3-031-17720-0 - Adrit Rao, Oliver O. Aalami:
Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning. 1-7 - Filip Malawski
, Jaroslaw Goslinski, Mikolaj Stryja, Katarzyna Jesionek, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa:
Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA. 8-17 - Daniel Lopez Martinez, Christina Chen, Ming-Jun Chen:
Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data. 18-28 - Qi Yang, Neha Anegondi, Verena Steffen, Simon S. Gao, Julia Cluceru, Christina Rabe, Jian Dai, Daniela Ferrara:
Uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence. 29-38 - Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. 39-48 - Laia Humbert-Vidan, Vinod Patel, Robin Andlauer, Andrew P. King, Teresa Guerrero Urbano:
Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning. 49-58 - Blanca 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:
Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development. 59-67 - Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma:
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks. 68-78 - María 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:
CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis. 79-87 - Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen:
Was that so Hard? Estimating Human Classification Difficulty. 88-97 - Ivan Mikhailov, Benoit Chauveau, Nicolas Bourdel, Adrien Bartoli:
A Deep Learning-Based Interactive Medical Image Segmentation Framework. 98-107 - Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh:
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. 108-117 - Hyunseok Seo, Seohee So, Sojin Yun, Seokjun Lee, Jiseong Barg:
Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI. 118-127 - Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu:
The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation. 128-138 - Gunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi:
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs. 139-149 - Pranjal Sahu, Jared Vicory, Matt McCormick, Asma Khan, Hassem Geha, Beatriz Paniagua:
Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection. 150-160
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