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ORCID3rd MICAD 2022: Leicester, UK
- Ruidan Su, Yudong Zhang
, Han Liu, Alejandro F. Frangi:
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2022, Leicester, UK, November 20-21, 2022. Lecture Notes in Electrical Engineering 810, Springer 2023, ISBN 978-981-16-6774-9
Medical Imaging
- Ivo R. Draganov, Veska Gancheva:
Optimizing the Non-local Means Filtering of CT Images. 3-13 - Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation. 15-26 - Mohammed Yusuf Ansari, Snigdha Mohanty, Serah Jessy Mathew, Subhashree Mishra, Sudhansu Sekhar Singh, Julien Abinahed, Abdulla Al-Ansari, Sarada Prasad Dakua:
Towards Developing a Lightweight Neural Network for Liver CT Segmentation. 27-35 - Esha Sadia Nasir, Muhammad Moazam Fraz:
NuRISC: Nuclei Radial Instance Segmentation and Classification. 37-51 - Kenglun Chang, Yanyuet Man, Hailong Yao:
A Semi-supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images. 53-65 - Manal Hamda, Btihal El Ghali, Imane Hilal, Omar El Midaoui, Nabil Ngote, Bahia El Abdi, Kawtar Megdiche:
Lunatum Prosthetic Replacement: Modeling Based on Volume Rendering of CT Scan Images. 67-76 - Jenna Seetohul, Mahmood Shafiee, Konstantinos Sirlantzis:
Augmented Reality Applications for Image-Guided Robotic Interventions Using Deep Learning Algorithms. 77-87 - Maria Tariq, Vasile Palade, YingLiang Ma:
Transfer Learning Based Classification of Diabetic Retinopathy on the Kaggle EyePACS Dataset. 89-99 - Jakub Laznovsky, Adam Brínek, Tomás Zikmund, Jozef Kaiser:
Ex-vivo Evaluation of Newly Formed Bone After Lumbar Interbody Fusion Surgery Using X-ray Micro Computed Tomography. 101-110 - Roozbeh Yousefzadeh:
Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods. 111-120 - Weihu Song, Heng Yu, Jianhua Wu:
Non-pooling Network for Medical Image Segmentation. 121-129 - Durai Arun Pannir Selvam, David I. Laurenson, William H. Nailon, Duncan B. McLaren:
Lung CT Analysis Using 3D Disparity-Regularised Block Matching for Stereotactic Ablative Body Radiotherapy. 131-141 - Mustapha Zokay, Hicham Saylani:
Identification of Melanoma Diseases from Multispectral Dermatological Images Using a Novel BSS Approach. 143-153 - Yilin You, Zhengyao Bai, Yihan Zhang, Jiajin Du:
2.5D Lightweight Network Integrating Multi-scale Semantic Features for Liver Tumor Segmentation. 155-167 - Tomás Vicar, Roman Jakubícek, Jirí Chmelík, Radim Kolár:
Registration of Medical Image Sequences Using Auto-differentiation. 169-178 - Evangelia Karali:
Small Animal Imaging: Iterative Algorithms Combined with Regularization Schemes, an Application to a Dual-Head Small Animal PET. 179-189 - Callum Altham, Huaizhong Zhang, Marcello Trovati, Ella Pereira, Nicola Ray, Simon Keller, Antonella Macerollo, Hulya Wieshmann:
Early Detection of Parkinson's Disease Dementia Using Dual-Sided Multi-scale Convolutional Neural Networks (DSMS-CNN). 191-201 - Mauro Mazzei:
A Change Detection with Machine Learning Approach for Medical Image Analysis. 203-229 - Firat Korkmaz:
U-Net##: A Powerful Novel Architecture for Medical Image Segmentation. 231-241
Computer-Aided Detection/Diagnosis
- Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob:
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. 245-254 - Perrine Solt, Adlane Habed, Antoine Bautin, Pierre Maillet, Michel de Mathelin:
3D-3D Rigid Registration: A Comparative Analysis Study on Femoral Bone Scans. 255-268 - Jason Wong, Marek Z. Reformat, Edmond Lou:
Fully Automatic Axial Vertebral Rotation Measurement of Children with Scoliosis Using Convolutional Neural Networks. 269-280 - Agustina La Greca Saint-Esteven, Chiara Marchiori, Marta Bogowicz, Javier Barranco Garcia, Zahra Khodabakhshi, Ender Konukoglu, Oliver Riesterer, Panagiotis Balermpas, Martin Hüllner, A. Cristiano I. Malossi, Matthias Guckenberger, Janita E. van Timmeren, Stephanie Tanadini-Lang:
Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer. 281-291 - Andre Mühlenbrock, René Weller, Gabriel Zachmann:
Optimizing the Illumination of a Surgical Site in New Autonomous Module-based Surgical Lighting Systems. 293-303 - Mohammed Tahri Sqalli, Dena Al-Thani, Mohamed B. Elshazly, Mohammed Al-Hijji, Alaa Alahmadi, Yahya Sqalli Houssaini:
An Eye-Tracking Based Machine Learning Model Towards the Prediction of Visual Expertise for Electrocardiogram Interpretation. 305-315 - Daniel Kvak, Eva Brezinová, Marek Biros, Robert Hrubý:
Synthetic Data as a Tool to Combat Racial Bias in Medical AI: Utilizing Generative Models for Optimizing Early Detection of Melanoma in Fitzpatrick Skin Types IV-VI. 317-330 - Mohamed Ramadan, Hazem Abdelkawy, Mustaqueem, Alice Othmani:
BD-Transformer: A Transformer-Based Approach for Bipolar Disorder Classification Using Audio. 331-341 - Zhenrun Zhan, Xiaodan Bi, Jinpeng Yang, Xu Tang, Tingting Zhao:
Establishment and Analysis of a Combined Diagnostic Model of Acute Myocardial Infarction Based on Random Forests and Artificial Neural Networks. 343-352 - Miao Gu, Min Liu:
Striped-Cross Attention Network with Implicit Semantic Knowledge for Antibody Structure Prediction. 353-364 - Sirine Chaari, Chaima El Ouni, Alice Othmani:
A Mobile Monitoring Application for Post-traumatic Stress Disorder. 365-375 - Md Mahbubur Rahman, Shihabur Rahman Samrat, Abdullah Al Ahad, Mahmud Elahi Akhter, Ibraheem Muhammad Moosa, Rajesh Palit, Ashfia Binte Habib:
COVID-19 Diagnosis and Classification from CXR Images Using Vision Transformer. 377-387 - Mane Margaryan, Matthias Seibold, Indu Joshi, Mazda Farshad, Philipp Fürnstahl, Nassir Navab:
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data. 389-398 - Ana Duarte, Orlando Belo:
Learning from Failure: A Methodology for the Retrieve Stage of a Cardiovascular Case-Based Reasoning System. 399-408
Machine Learning and Deep Learning
- Robert Bazdaric, Franko Hrzic, Mateja Napravnik, Ivan Stajduhar:
Forming of Validation Dataset for Deep Learning Based Model of Medical Image Grouping. 411-429 - Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan:
Deep Learning Based Radiomics to Predict Treatment Response Using Multi-datasets. 431-440 - Akiho Isshiki, Dar-In Tai, Po-Hsiang Tsui, Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata:
Convolutional Neural Network Classification of Liver Fibrosis Stages Using Ultrasonic Images Colorized by Features of Echo-Envelope Statistics. 441-451 - Zengtian Deng, Touseef Ahmad Qureshi, Sehrish Javed, Lixia Wang, Anthony G. Christodoulou, Yibin Xie, Srinavas Gaddam, Stephen Jacob Pandol, Debiao Li:
FedRNN: Federated Learning with RNN-Based Aggregation on Pancreas Segmentation. 453-464 - Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu:
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture. 465-476 - Jihoon Cho, Jinah Park:
Hybrid-Fusion Transformer for Multisequence MRI. 477-487 - Wei Wang, Shui-Hua Wang, Yu-Dong Zhang:
STResNet: Covid-19 Detection by ResNet Transfer Learning and Stochastic Pooling. 489-502 - Gabriel A. S. Coutrin, Lucas Pereira Carlini, Leonardo Antunes Ferreira, Tatiany M. Heiderich, Rita C. X. Balda, Marina C. M. Barros, Ruth Guinsburg, Carlos E. Thomaz:
Convolutional Neural Networks for Newborn Pain Assessment Using Face Images: A Quantitative and Qualitative Comparison. 503-513 - Xiaodan Bi, Zhenrun Zhan, Jinpeng Yang, Xu Tang, Tingting Zhao:
Machine Learning for the Evaluation and Detection of Key Markers in Dilated Cardiomyopathy. 515-525
Others
- Farina Tariq, Saad Ahmad Khan, Muhammad Moazam Fraz:
Schema Based Knowledge Graph for Clinical Knowledge Representation from Structured and Un-structured Oncology Data. 529-539 - Yamid Fabián Hernández-Julio, L. A. Díaz-Pertuz, Martha Janeth Prieto-Guevara, M. Avilés-Román, B. Castillo-Osorio, Mauricio Barrios Barrios, Wilson Nieto-Bernal:
Intelligent Fuzzy Clinical Decision Support System to Classify Breast Cancer - Case Study: The Wisconsin Dataset. 541-550 - Ying Zhang, Xin Su, Xibin Xu:
Research on the Design and Production of VR Rehabilitation Game for Parkinson's Disease Patients Based on Real-Time Action Acquisition. 551-559 - Linshan Han, Beilei Wang, Songyao Wang:
Force-Directed Graph Layout Based on Community Discovery and Clustering Optimization. 561-571 - Zhenrun Zhan, Xiaodan Bi, Xu Tang, Tingting Zhao:
Comprehensive Strategy to Screen the Ankylosing Spondylitis-Related Biomarkers in the Peripheral Serum. 573-584
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