default search action
4th MICAD 2023: Cambridge, UK
- Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi:
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2023, Cambridge, UK, December 9-10, 2023. Lecture Notes in Electrical Engineering 1166, Springer 2024, ISBN 978-981-97-1334-9
Medical Imaging
- Daniel Kvak, Anna Chromcová, Petra Ovesná, Jakub Dandár, Marek Biros, Robert Hrubý, Daniel Dufek, Marija Pajdakovic:
Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings Using Deep Learning. 3-20 - Biao Huang, Peiren Shan, Miao Chu, Qingcheng Lin, Runing Xiao, Su Zhang, Niels R. Holm, Shengxian Tu:
Evaluation of Left Main Bifurcation Ostial Area by Main Vessel Intravascular Ultrasound. 21-31 - Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
End-to-End Autoencoding Architecture for the Simultaneous Generation of Medical Images and Corresponding Segmentation Masks. 32-40 - Jack Highton, Quok Zong Chong, Richard Crawley, Julia A. Schnabel, Kanwal K. Bhatia:
Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI - Proof of Concept for Black-Box Brain-Hemorrhage Classification. 41-51 - Mohammad Areeb Qazi, Mohammed Talha Alam, Ibrahim Almakky, Werner Gerhard Diehl, Leanne Bricker, Mohammad Yaqub:
Multi-task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans. 52-61 - Ren Imamura, Guangxian Zhu, Thi Sang Duong, Hoai Luan Pham, Renyuan Zhang, Yasuhiko Nakashima:
Energy-Efficient 3D Convolution Using Interposed Memory Accelerator eXtension 2 for Medical Image Processing. 62-71 - Andrew Davidson, Arthur Morley-Bunker, George Wiggins, Logan Walker, Gavin Harris, Ramakrishnan Mukundan:
Grey Level Texture Features for Segmentation of Chromogenic Dye RNAscope from Breast Cancer Tissue. 72-82 - Zishan Liu, Peiwen Sun, Donghao Chen, Honggang Zhang, Yingying Li:
Predicting Central Cervical Lymph Node Metastasis of Papillary Thyroid Carcinomas Using Multi-view Ultrasound Images. 83-91 - Yordan Spirdonov, Georgi Varbanov, Slavyana Usheva, Dimitar Tonev:
Modified Technique "Modus Spirdonov 1" in Fine-Needle Aspiration Biopsy Under Ultrasonographical Control. 92-101 - Yordan Spirdonov, Georgi Varbanov, Slavyana Usheva, Dimitar Tonev:
Customized Position with a Breast Pad for MDCT - A Single-Institution Experience for Breast Cancer Staging. 102-110 - Mohammad Farid Azampour, Yordanka Velikova, Emad Fatemizadeh, Sarada Prasad Dakua, Nassir Navab:
Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion. 111-121 - Nitya Kuruvila, Tahira Ghani, Omar Islam, B. John Oommen:
Machine Learning and AI Approaches for Classifying Primary Brain Tumours Using Conventional MRI Scans. 122-131 - Rohan Banerjee, Sanjoy Kumar Saha, Tapabrata Chakraborti:
Ret2Ret: Retinal Blood Vessel Extraction via Improved Pix2Pix Image Translation. 132-142 - Abdalrahman Alblwi, Noaman Mehmood, Justin Labombard, Kenneth E. Barner:
A Data Augmentation Approach to Enhance Breast Cancer Segmentation. 143-152 - Bheeshm Sharma, P. Balamurugan:
PB-FELTuCS: Patch-Based Filtering for Enhanced Liver Tumor Classification and Segmentation. 153-165 - Min Tang, Yibin Peng, Shuihua Wang, Shuwen Chen, Yudong Zhang:
AlexNet for Image-Based COVID-19 Diagnosis. 166-176
Computer-Aided Detection/Diagnosis
- Qiyi Yu, Yidong Zhang, Yue Zhang, Wenwei Zhang:
Diagnostic Genes Identification and Molecular Classification Patterns Based on Oxidative Stress-Related Genes in Ischemic Stroke. 179-199 - Xiaohui Shen, Zeyi Huang, Chenxue Jin, Changqing Yang:
Identification of a Novel Model for Predicting the Prognosis and Immune Response Based on Genes Related to Ferroptosis and Disulfidptosis in Liver Hepatocellular Carcinoma. 200-214 - Yanling Yang, Xufeng Yao, Tao Wu:
Progress of Intelligent Diagnosis via Multiple Brain Features in Alzheimer's Disease. 215-225 - Nguyen Cong Phuong:
Classification of Children with/without Autism Spectrum Disorder Using Speech Signal. 226-235 - Sanghamitra Subhadarsini Dash, Malaya Kumar Nath, Thivya Anbalagan:
Identification of FECG from AECG Recordings using ICA over EMD. 236-248 - Khaled Baazi, Abd el hak Gasmi, Mohamed Ammi, Amina Saadedine, Abdelkader Delmadji:
Classification of Pathological Speech in Speakers with Cleft Palate: Decision Tree Approach. 249-259 - Yizhi Wei, Steven Zhiying Zhou:
Towards Seamless Surgical Guidance: A Robust Marker-Based Multi-camera AR Navigation System with Advanced Calibration and Detection Techniques. 260-270
Machine Learning and Deep Learning
- Lotte Huysmans, Bram De Wel, Louise Iterbeke, Kristl G. Claeys, Frederik Maes:
Deep Learning Approaches for Automated Classification of Muscular Dystrophies from MRI. 273-281 - Zeyi Huang, Xiaohui Shen, Yuwei Wang, Chenxue Jin, Changqing Yang:
Identification of Hub Biomarkers and Immune Cell Infiltration Characteristics in Ulcerative Colitis by Bioinformatics Analysis and Machine Learning. 282-296 - Anees Ur Rehman Hashmi, Mohammed El-Amine Azz:
TMN: An Efficient Robust Aggregator for Federated Learning. 297-306 - Ranran Dai, Wenxian Peng:
Research Progress of Deep Learning in Thyroid Nodule Imaging Examination. 307-317 - Shereen Ekhlas, Neveen M. Abd-Elsalam, Zaid A. AlSaidy, Ahmed H. Kandil, Ahmed Al-bialy, Abou Bakr M. Youssef:
Comparing Different Deep-Learning Models for Classifying Masses in Ultrasound Images. 318-328 - Gaoyuan Ji, Pei Liu:
RNN-Based Multiple Instance Learning for the Classification of Histopathology Whole Slide Images. 329-339 - Meng Wu, Shuihua Wang, Shuwen Chen, Yudong Zhang:
Machine Learning for Image Denoising: A Review. 340-351 - Meng Wu, Jin Zhou, Yibin Peng, Shuihua Wang, Yudong Zhang:
Deep Learning for Image Classification: A Review. 352-362
Others
- Michal Haindl:
Survival Modeling of Disease Consequences and Post-disease Syndromes. 365-374 - Priynka Sharma, Jasvir Bir, Surya Prakash:
Navigating Privacy and Security Challenges in Electronic Medical Record (EMR) Systems: Strategies for Safeguarding Patient Data in Developing Countries - A Case Study of the Pacific. 375-386 - Fanfan Zhu, Ziyao Wang:
Construction of Precision Medical Model Based on Electronic Medical Records. 387-395 - Jing Liu, Pan Wu, Xiao Chen:
Research and Application of an Intelligent Anesthesia Drug Management System Based on Internet of Things Technology. 396-403
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.