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ORCIDArtificial Intelligence in Medicine, Volume 132
Volume 132, October 2022
- Zhi Wang, Xiaoya Zhu, Ao Li, Yuan Wang, Gang Meng, Minghui Wang:
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images. 102341 - Arnaud Boutillon
, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. 102364 - Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu:
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. 102366 - Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh:
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. 102368 - Javier López-Labraca, Iván González-Díaz, Fernando Díaz-de-María, Alejandro Fueyo-Casado:
An interpretable CNN-based CAD system for skin lesion diagnosis. 102370 - Rachel Lea Draelos, Lawrence Carin:
Explainable multiple abnormality classification of chest CT volumes. 102372 - Mei Wang, Zhihua Lin, Ruihua Li, Ye Li, Jianwen Su:
Predicting disease progress with imprecise lab test results. 102373 - Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. 102374 - Yixin Chen, Xianbing Zhao, Buzhou Tang:
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph. 102376 - Daniela Mennickent, Andrés Rodríguez, Marcelo Farías-Jofré, Juan Araya, Enrique Guzmán-Gutiérrez:
Machine learning-based models for gestational diabetes mellitus prediction before 24-28 weeks of pregnancy: A review. 102378 - Xuan Zhang, Hui Wu, Ting Chen, Guangyu Wang:
Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction. 102379 - Anxo Pérez, Javier Parapar, Álvaro Barreiro:
Automatic depression score estimation with word embedding models. 102380
- Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Ali Rababah, Aleeha Iftikhar, Daniel Guldenring, Charles Knoery, Anne McShane, Aaron J. Peace, Peter W. Macfarlane:
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications. 102381
- Yan-Wei Lee, Sheng-Kai Huang, Ruey-Feng Chang:
CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images. 102382 - Nadja Gruber, Malik Galijasevic, Milovan Regodic, Astrid Ellen Grams, Christian M. Siedentopf, Ruth Steiger, Marlene Hammerl, Markus Haltmeier, Elke Ruth Gizewski, Tanja Janjic:
A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates. 102384 - Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. 102386 - Tai Dou, Benjamin Clasie, Nicolas Depauw, Tim Shen, Robert Brett, Hsiao-Ming Lu, Jacob B. Flanz, Kyung-Wook Jee:
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system. 102387 - Muhammad Rayees Ahmad, Usman Afzal:
Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets. 102390 - Nurul Izrin Md Saleh, Hadhrami Ab. Ghani, Zairul Jilani:
Defining factors in hospital admissions during COVID-19 using LSTM-FCA explainable model. 102394
- Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, Lai Fong Chan:
Suicidal behaviour prediction models using machine learning techniques: A systematic review. 102395 - Amanda Lans, Robertus J. B. Pierik, John R. Bales, Mitchell S. Fourman, David Shin, Laura N. Kanbier, Jack Rifkin, William H. DiGiovanni, Rohan R. Chopra, Rana Moeinzad, Jorrit-Jan Verlaan, Joseph H. Schwab:
Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review. 102396
- Joseph Agor, Ruoting Li, Osman Y. Özaltin:
Septic shock prediction and knowledge discovery through temporal pattern mining. 102406
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