default search action
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Volume 12
Volume 12, Number 1, December 2024
- Gregory G. Knapik, Ehud Mendel, Eric Bourekas, William S. Marras:
A digital spine geometry database to inform computational modeling. - M. Mary Vespa, C. Agees Kumar:
Diabetic eye disease in computerised tomography of feature extraction and classification in hybrid neural network. - Abhishek Jain, Rohit Raja, Sumit Srivastava, Prakash Chandra Sharma, Jayesh Gangrade, Manoj R:
Analysis of EEG signals and data acquisition methods: a review. - Ali Jafari:
Machine-learning methods in detecting breast cancer and related therapeutic issues: a review. - Pratibha S. Sonawane, Jagdish B. Helonde:
Smart Societal Optimization-based Deep Learning Convolutional Neural Network Model for Epileptic Seizure Prediction. - Martina Schena, Federica Testa, Michela Bozzetto, Andrea Remuzzi, Luigi A. A. Lanterna, Ettore Lanzarone:
A CFD-based framework to evaluate surgical alternatives in cerebral aneurysms. - Nayyer Mostaghim Bakhshayesh, Mousa Shamsi, Faegheh Golabi:
Gene expression extraction in cervical cancer by segmentation of microarray images using a novel fuzzy method. - Dylan E. Zaluski, Saija A Kontulainen, James D. Johnston:
Accuracy and precision of internal displacement and strain measurements in long human bones using HR-pQCT and digital volume correlation. - Joris Boulo, Andréanne K. Blanchette, Alexandra Cyr, Bradford J. McFadyen:
Validity and reliability of the tracking measures extracted from the oculus quest 2 during locomotion. - Mohaddeseh Chegini, Ali Mahlooji Far:
Uncertainty-aware deep learning-based CAD system for breast cancer classification using ultrasound and mammography images. - Shabnam Ghasemi, Shahin Akbarpour, Ali Farzan, Mohammad Ali Jabraeil Jamali:
RePoint-Net detection and 3DSqU² Net segmentation for automatic identification of pulmonary nodules in computed tomography images. - Denise Balogh, Michelle Campbell, Aaron M. Kociolek:
Ultrasound image quality of the carpal tunnel during a pinch grip: effects of coupling media and wrist position. - Hannes Lenz, Ingo Sandau, Maren Witt:
Concurrent validity and test-retest reliability for the assessment of body segment lengths using two-dimensional video-recordings in weightlifting. - Yongjae Lee, Baris Cansiz, Krunoslav Michael Sveric, Axel Linke, Michael Kaliske:
Assessment of LV structural remodelling by the application of the finite element method to 3D echocardiography data. - Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi:
Cutting-edge multi-task model: unveiling COVID-19 through fusion of image processing algorithms. - G. Divya Deepak:
Optimization of deep neural network for multiclassification of Pneumonia. - James Hunter, Ting-Yim Lee, George S. Athwal, Emily A. Lalone:
Development of a single-vertebra image-based technique to quantify shoulder kinematics using four-dimensional computed tomography. - Sadeena Sabnam, Sivakumar Rajagopal:
Application of generative adversarial networks in image, face reconstruction and medical imaging: challenges and the current progress. - Ashkan Pakzad, Wing Keung Cheung, Coline H. M. Van Moorsel, Kin Quan, Nesrin Mogulkoc, Brian J. Bartholmai, H. W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, T. Peikert, R. D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, Dave Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob:
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Mahya Mirbagheri, Tom Chau:
Optimising virtual object position for efficient eye-gaze interaction in Hololens2. - Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, John B. Theocharis:
A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities. - S. Vanaja, Ravi Babu T, K. Malathi, Kuldeep K. Saxena, J. Joselin Jeya Sheela, S. Suruthi, Stalin B., N. Nagaprasad, Ramaswamy Krishnaraj, Din Bandhu, Uma Reddy:
Non-invasive glucometer monitoring system through optical based near-infrared sensor method. - Gregorio Bernabé, Pilar González-Férez, José Manuel García Carrasco, Guillem Casas, Josefa González-Carrillo:
Expanding the deep-learning model to diagnosis LVNC: limitations and trade-offs. - Mahesh Pandurang Potadar, Raghunath S. Holambe, Rajan H. Chile:
Design and development of a deep learning model for brain abnormality detection using MRI. - Le Tuan Linh, Bui My Hanh, Nguyen Ngoc Cuong, Ha Manh Toan, Anh Nguyen, Nguyen Hoang Phuong:
Transfer learning for deep neural networks-based classification of breast cancer X-ray images. - Mohammad Ehsan Farnoodian, Mohammad Karimi Moridani, Hanieh Mokhber:
Detection and prediction of diabetes using effective biomarkers. - Pulagam Vamsidhar Reddy, Priya PS:
ABC/2 formula versus computer-assisted analysis in calculating intra-cranial haemorrhage volume on computed tomographic imaging. - G. Divya Deepak, Subraya Krishna Bhat:
Deep learning-based CNN for multiclassification of ocular diseases using transfer learning. - Malek Zahed, Kelly C. S. Roballo:
Prediction of peripheral nerve intrinsic organisation: a pilot study. - G. Divya Deepak, Subraya Krishna Bhat:
Optimization of deep neural networks for multiclassification of dental X-rays using transfer learning. - Navita Kumari, Amulya Yadagani, Basudeba Behera, Vijay Bhaskar Semwal, Somya Mohanty:
Human motion activity recognition and pattern analysis using compressed deep neural networks.
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.