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ORCIDComputer 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. - Yinyi Lai, Yifan Liu, Qiwen Zhang, Jiaqi Shang, Xinyi Qiu, Jun Yan:
Lesiondiff: enhanced breast cancer classification via dynamic lesion amplification using diffusion models. - Amir Mehrabinezhad, Mohammad Teshnehlab, Arash Sharifi:
A comparative study to examine principal component analysis and kernel principal component analysis-based weighting layer for convolutional neural networks. - Ali Nabipour, Mohammad Javad Shams Nejati, Yasaman Boreshban, Seyed Abolghasem Mirroshandel:
Less-supervised learning with knowledge distillation for sperm morphology analysis. - G. Divya Deepak, Subraya Krishna Bhat:
A comparative study of breast tumour detection using a semantic segmentation network coupled with different pretrained CNNs. - Harendra Singh, Arun Kumar Rana, Jayant P. Giri, Mohd Asif Shah, Saurav Mallik, T. Sathish:
Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan. - William Burton, Kalin Gibbons, Keaghan Economon:
SmartSeg: machine learning infrastructure software for accelerating medical image segmentation in patient-specific applications. - Yiwen Liu, Xinling Li, Dequan Yu, Yangchao Xu:
Medical information management system based on multi-source heterogeneous big data. - Mariem Tounsi, Mouna Zitouni:
Brain MR image segmentation for tumor detection based on Riesz probability distributions. - Baris Cansiz, Krunoslav Michael Sveric, Jens Fassl, Axel Linke, Michael Kaliske:
Influence of left ventricle longitudinal axis translation on rotation measurements in 3D echocardiography. - M. S. Santos, C. T. Valadao, Cassius Z. Resende, Daniel Cruz Cavalieri:
Predicting diabetic retinopathy stage using Siamese Convolutional Neural Network. - Bindhya P. S, R. Chitra, Bibin Raj V. S:
Deep learning based MA detection with modified ResNet-50. - Kuniki Imagawa, Kohei Shiomoto:
Evaluation of effectiveness of pre-training method in chest X-ray imaging using vision transformer. - Rani Ghassan Al Rahbani, Anastasia Ioannou, Tao Wang:
Alzheimer's disease multiclass detection through deep learning models and post-processing heuristics. - Alireza Ariyanfar, Karina Klein, Brigitte von Rechenberg, Salim Darwiche, Hannah L. Dailey:
Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair. - Deepak Hegde, G. N. Balaji:
P-CNN: Percept-CNN for semantic segmentation. - Ubaldo Castro Jiménez, Edgar A. Martínez-García:
EMG model calibration and trajectory tracking of rehabilitation exoskeleton by asynchronous tele-training. - Jesline Jeme V, S. Albert Jerome:
Efficient MRI image enhancement by improved denoising techniques for better skull stripping using attention module-based convolution neural network. - Majid Sepahvand, Fardin Abdali Mohammadi, Maytham N. Meqdad:
Leveraging bone age assessment via a novel joint decomposition teacher-student learning paradigm from X-ray images. - Seyyed Ahmad Mousavi, Nastaran Parvizi, Ali Hajhasan Tehrani:
Kinematic of dart-throwing: virtual reality (functional and structural constraints) vs. real-world. - N. K. Jisy, Md. Hasnat Ali, Sirisha Senthil, M. B. Srinivas:
Early detection of glaucoma: feature visualization with a deep convolutional network. - Akihiro Kubota, Motohiro Shibata, Susumu Kikuchi, Takashi Yoneyama:
Colour reproduction evaluation of whole-slide imaging scanners for digital pathology. - Florent Tomi, Morgane Evin, Yves Godio-Raboutet, Raphael La Greca, Thomas Clement, Yann Glard:
Vertebral cortical thickness and cortical bone density: an automated CT assessment - towards enhanced spine segmentation. - Iira Salo, Lovisa Nordlund, Linnea Eklund, Joseph Ho, Mikael Soini, Darshan Kumar, Joe Yeong, Frank Guan, Eija Metsälä:
Advancements and applications of AI technologies in pathology: a scoping review. - T. Suresh Balakrishnan, D. Jayalakshmi, P. Geetha, T. Saju Raj, R. Hemavathi:
Accurate recognition of human abnormal behaviours using adaptive 3D residual attention network with gated recurrent units (GRU) in the video sequences. - R. Roopalakshmi, R. Sreelatha:
A novel light GBM framework combined with gain optimization for predicting dementia severity of Alzheimer's disease. - Ansh Mittal, Anusurya, Shilpa Gupta, Varun Srivastava, Arun Balodi, Manoj Tolani:
FuNet-40: fundus disease/abnormality classification using ensemble of fine-tuned pretrained convolution models. - Anna Rörich, Annkristin Lange, Stefan Heldmann, Jan Hendrik Moltz, Lars Walczak, Sinef Yarar-Schlickewei, Felix Güttler, Joachim Georgii:
Inferring 3D finger bone shapes from 2D images - a detailed analysis of shape accuracy.
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