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ORCIDComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Volume 11
Volume 11, Number 1, January 2023
- Chamundeshwari, Nagashattappa Biradar, Udaykumar:
Adaptive Despeckling and Heart Disease Diagnosis by Echocardiogram using Optimized Deep Learning Model. 1-17 - Delmon Arous, Stefan Schrunner
, Ingunn Hanson, Nina Frederike Jeppesen Edin, Eirik Malinen:
Principal component-based image segmentation: a new approach to outline in vitro cell colonies. 18-30 - Olivia Ng, Sanjiv D. Gunasekera, Shannon Thomas, Ramon L. Varcoe, Tracie J. Barber:
The effect of assumed boundary conditions on the accuracy of patient-specific CFD arteriovenous fistula model. 31-43 - David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø:
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. 44-58 - Junhua Chen, Chong Zhang, Leonard Wee, Andre Dekker, Iñigo Bermejo:
Are all shortcuts in encoder-decoder networks beneficial for CT denoising? 59-66 - Mouna Zitouni, Afif Masmoudi, Mourad Zribi:
Tweedie hidden Markov random field and the expectation-method of moments and maximisation algorithm for brain MR image segmentation. 67-79 - Khalid Hussain, Suhaib Ajaz Khan, Mehreen Muzaffar, Zaynab Rashid Khan, Sheikh Umar Farooq:
Performance evaluation of CNN architectures for COVID-19 detection from X-ray images. 80-93 - Trong Thanh Han, Tung Nguyen Duy, Lam Nguyen Dang Son, Hinh Nguyen Van, Do Trong Tuan, Dung Nguyen Viet, Dung Nguyen Tuan, Luu Vu Dang:
Features extraction of MRI image using complex network with low computational complexity to distinguish inflammatory lesions from tumors in the human brain. 94-102 - Khadijeh Saednia, William T. Tran, Ali Sadeghi-Naini:
Automatic characterization of breast lesions using multi-scale attention-guided deep learning of digital histology images. 103-111 - Patricia Lopes, Paul Van Herck, Eefje Verhoelst, Roel Wirix-Speetjens, Jan Sijbers, Johan Bosmans, Jos Vander Sloten:
Using particle systems for mitral valve segmentation from 3D transoesophageal echocardiography (3D TOE) - a proof of concept. 112-120 - Edgar Macias-Garcia, Deysy Galeana Pérez, Victor Farias-Moreno, Eduardo Bayro-Corrochano:
Banknote and obstacle detection system for visually impaired people. 121-133
Volume 11, Number 2, March 2023
- Vedavati Bhandari, Manjaiah Doddaghatta Huchaiah:
Improved ensemble learning model with optimal feature selection for automated epileptic seizure detection. 135-165 - Chaymaa Lahmar, Ali Idri:
Deep hybrid architectures for diabetic retinopathy classification. 166-184 - Dimple Nagpal, Surya Narayan Panda:
Performance analysis of diabetic retinopathy using diverse image enhancement techniques. 185-196 - Bhawna Dhruv, Neetu Mittal, Megha Modi:
Hybrid Particle Swarm Optimized and Fuzzy C Means Clustering based segmentation technique for investigation of COVID-19 infected chest CT. 197-204 - A. A. Navish, M. Priya, R. Uthayakumar:
A Metaphorical Interpretation on Vessel Segmentation Algorithms by using Local Connected Fractal Dimension. 205-214 - Sushil Kumar Saroj, Rakesh Kumar, Nagendra Pratap Singh:
Retinal blood vessels segmentation using Wald PDF and MSMO operator. 215-232 - M. A. Khanday, Saqib Mubarak:
Mathematical modeling of concentration/ time-activity profiles of radiotracers in positron emission tomography. 233-241 - Sajid Ullah Khan, Fang Wang, Juin. J. Liou, Yuhuai Liu:
Segmentation of breast tumors using cutting-edge semantic segmentation models. 242-252 - Pall Asgeir Bjornsson, Alexander Baker, Ingmar Fleps, Yves Pauchard, Halldor Pálsson, Stephen J. Ferguson, Sigurdur Sigurdsson, Vilmundur Gudnason, Benedikt Helgason, Lotta Maria Ellingsen:
Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening. 253-265 - R. Meena Prakash, R. Shantha Selva Kumari, K. Valarmathi, K. Ramalakshmi:
Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network. 266-277 - Fatema-Tuz-Zohra Khanam, Ali Al-Naji, Asanka G. Perera, Kim Gibson, Javaan S. Chahl:
Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging. 278-285
Volume 11, Number 3, May 2023
- Rodrigo de Melo Souza Veras:
Brazilian Symposium on computing applied to Healthcare (SBCAS). 287 - Paulo Chagas, Luiz Souza, Izabelle Pontes, Rodrigo Tripodi Calumby, Michele F. Angelo, Angelo Amâncio Duarte, Washington L. C. dos-Santos, Luciano Oliveira:
Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model. 288-298 - Danilo Oliveira, Joniel Bastos Barreto, I. M. Mesquita, I. C. Paula Jr, F. N. Chaves, M. B. S. Sampieri, J. P. Madeiro:
Analysis of the influence of pre-processing techniques with convolutional neural networks for automatic detection of cysts in wisdom teeth. 299-310 - Elisson Carlos de Carvalho, Alessandra Martins Coelho, Aura Conci, Matheus de Freitas Oliveira Baffa:
U-Net Convolutional Neural Networks for breast IR imaging segmentation on frontal and lateral view. 311-316 - João Otávio Bandeira Diniz, Domingos Alves Dias Júnior, Luana Batista da Cruz, Giovanni Lucca França da Silva, Jonnison Lima Ferreira, Darlan Bruno Pontes Quintanilha, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate. 317-325 - Matheus de Freitas Oliveira Baffa, João Guilherme Pereira, Fabrício Henrique Simozo, Luiz Otávio Murta Júnior, Joaquim Cezar Felipe:
Focal cortical dysplasia classification for refractory epilepsy detection using artificial neural network. 326-330 - Fernanda Goyo Tamanaka, Lucas Pereira Carlini, Tatiany M. Heiderich, Rita de Cássia Xavier Balda, Marina Carvalho de Moraes Barros, Ruth Guinsburg, Carlos E. Thomaz:
Neonatal pain assessment: A Kendall analysis between clinical and visually perceived facial features. 331-340 - G. Olescki, João Mario Clementin De Andrade, Dante Luiz Escuissato, Lucas F. Oliveira:
A two step workflow for pulmonary embolism detection using deep learning and feature extraction. 341-350 - Maura Rocha, Maíla de Lima Claro, Laurindo de S. B. Neto, Kelson Rômulo Teixeira Aires, Vinícius Machado, Rodrigo Veras:
Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis. 351-368 - Ruochen Wang, Liying Zheng, Ashley L. Hawke, Robert E. Carey, Scott P. Breloff, Kang Li, Xi Peng:
Video-Based 3D pose estimation for residential roofing. 369-377 - Sandra P. Cano, Jonathan Soto, Laura Acosta, Victor M. Peñeñory, Fernando Moreira:
Using Brain -Computer Interface to evaluate the User eXperience in interactive systems. 378-386 - M. Ravikumar, P. G. Rachana, B. J. Shivaprasad:
Segmentation of tumour from mammogram images using U-SegNet: a hybrid approach. 387-398 - A. A. Navish, R. Uthayakumar:
A Chaotic Approach to Recognize the Characteristics of Genetic Codes of Covid Patients. 399-412 - V. Jeya Ramya, S. Lakshmi:
An Efficient Hybrid Model for Acute Myeloid Leukaemia detection using Convolutional Bi-LSTM based Recurrent Neural Network. 413-424 - Håkon Strand Bølviken, Federico Veronesi, Eigil Samset:
Simultaneous segmentation of all four chambers in cardiac ultrasound images. 425-432 - Natalya Denisova, Marina Ondar, Hunor Kertesz, Thomas Beyer:
Development of anthropomorphic mathematical phantoms for simulations of clinical cases in diagnostic nuclear medicine. 433-441 - Olivia Ng, Sanjiv D. Gunasekera, Ramon L. Varcoe, Shannon Thomas, Tracie Barber:
A review of the predictive methods for arteriovenous fistula (AVF) failure identification. 442-452 - Naemeh Farahani, Shabnam Ghahari, Emad Fatemizadeh, Ali Motie Nasrabadi:
Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data. 453-466 - Patrick Salvia, Robert Elbaum, Emilie Bourgois, Shanon Péché, Véronique Feipel, Benoit Beyer:
Digitization of three-dimensional spine curvature profile in adolescent idiopathic scoliosis using anatomical palpation. 467-475 - Temel Sönmezocak, Serkan Kurt:
Detection of lower jaw activities from micro vibration signals of masseter muscles using MEMS accelerometer. 476-484 - Geethu Mohan, M. Monica Subashini:
Intelligent framework for brain tumor grading using advanced feature analysis. 485-503 - Munavar Jasim K, Thomas Brindha:
TaylorCSROA-based Deep Residual Network: An Optimization driven Deep Network for the multilevel spinal cord disease classification. 504-516 - Chaithanyadas K. V., G. R. Gnana King:
Brain tumour classification: a comprehensive systematic review on various constraints. 517-529 - Deva Kumar Salluri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli:
HRUNET: Hybrid Residual U - Net for automatic severity prediction of Diabetic Retinopathy. 530-541 - Deepak Kumar Maharana, Pranati Das, Ranjeet Kumar Rout:
Automated segmentation of blood vessels in retinal images based on entropy weighted thresholding. 542-553 - Norman Chiche, William Pacquet, Nicolas Lebon, Elsa Vennat, Laurent Tapie:
Inspecting CAD/CAM ceramic dental prosthesis using X-ray micro-computed tomography. 554-567 - A. Siva Kumar, P. Rajesh Kumar:
Meta-heuristic-based FCM-UNet segmentation with multi-objective function and deep learning for brain tumour classification. 568-585 - A. A. Navish, M. Priya, R. Uthayakumar:
A comparative study on estimation of fractal dimension of EMG signal using SWT and FLP. 586-597 - M. Jeya Sundari, N. C. Brintha:
An Intelligent Black Widow Optimization on Image Enhancement with Deep Learning Based Ovarian Tumor Diagnosis model. 598-605 - Vrushali Raut, Reena Gunjan, Virendra V. Shete, Upasani Dhananjay Eknath:
Gastrointestinal tract disease segmentation and classification in wireless capsule endoscopy using intelligent deep learning model. 606-622 - Nivea Kesav, M. G. Jibukumar:
A deep learning approach with Bayesian optimized Kernel support vector machine for Covid-19 diagnosis. 623-637 - Sayan Saha Roy, Shraban Roy, Prithwijit Mukherjee, Anisha Halder Roy:
An automated liver tumour segmentation and classification model by deep learning based approaches. 638-650 - Sharanabasappa A. Madival, Shivkumar S. Jawaligi:
Dietary assessment framework using improved K-means clustering and optimisation assisted CNN. 651-664 - Ahmet Karagöz, Albert Güvenis:
Robust whole-tumour 3D volumetric CT-based radiomics approach for predicting the WHO/ISUP grade of a ccRCC tumour. 665-677 - Priyanka A. Gavade, Vandana S. Bhat, Jagadeesh D. Pujari:
Improved deep generative adversarial network with illuminant invariant local binary pattern features for facial expression recognition. 678-695 - Mansour H. Assaf, Rahul Kumar, Krishneel Sharma, Bibhya Sharma:
Optimized tongue driven system using artificial intelligence. 696-710 - Dario Farotto, Patricia Lopes, Maryna Kvasnytsia, Mathias Polfliet, Jef Vandemeulebroucke, Roel Wirix-Speetjens, Jos Vander Sloten:
Automated mitral annulus annotation over 4D-CT for transcatheter mitral valve replacement. 711-717 - Martina Guidetti, Floor M. Lambers, Michael Kohnen, Philip Malloy, Richard C. Mather, James W. Genuario, Shane J. Nho:
Influence of limb positioning during image acquisition on femoral torsion measurements: implications for surgical planning. 718-729 - Bin Yu, Long Yu, Shengwei Tian, Weidong Wu, Dezhi Zhang, Xiaojing Kang:
Skin disease migration segmentation network based on multi-scale channel attention. 730-739 - Jarina B. Mazumdar, S. R. Nirmala:
Deep learning framework for biometric authentication using retinal images. 740-749 - Francis H. Shajin, P. Salini, Paulthurai Rajesh, Venu Kadur Nagoji Rao:
Efficient Framework for Brain Tumour Classification using Hierarchical Deep Learning Neural Network Classifier. 750-757 - Bhagya Jyothi K. L., Vasudeva V.:
Deep Maxout Network for human action and abnormality detection using Chronological Poor and Rich Optimization. 758-773 - Chetan Balaji, D. S. Suresh:
Multi-class Recognition of Alzheimer's and Parkinson's diseases using Bag of Deep reduced Features (BoDrF) with Improved Chaotic Multi Verse Harris Hawks Optimization (CMVHHO) and Random Forest (RF) based classification for early diagnosis. 774-785 - Rajarajeswari Perepi, Santhi K, Pratik Chattopadhyay, O. Anwar Bég:
A deep learning computational approach for the classification of COVID-19 virus. 786-795 - Sushitha Susan Joseph, Aju Dennisan:
Optimised CNN based Brain Tumour Detection and 3D Reconstruction. 796-811 - Dennis K. Njeru, Tushar M. Athawale, Jessie France, Chris R. Johnson:
Quantifying and Visualizing Uncertainty for Source Localisation in Electrocardiographic Imaging. 812-822 - Alexandre Gonçalves Silva, Giulliano Paes Carnielli, Jose Roberto Matos-Souza, Luís Felipe Rodrigues Dos Santos Carvalho-Romano, Daniel Sampaio dos Santos Mello, Demétrio da Cruz Souza Vieira, Wilson Nadruz, Rangel Arthur:
Fully automatic measurement of the carotid intima thickness in ultrasound images using extinction values. 823-836 - Suvarna Nandyal, Somashekhar S. Dhanyal:
Video-based Yogasan classification for the musculoskeletal disorder using the Cervus trail dependent multiclass support vector machine. 837-855 - Hieu Huynh-Van, Tuan Lehoang, Trong Thai-Minh, Huy Nguyen-Dinh, Tai Vo-Van:
Classifying the lung images for people infected with COVID-19 based on the extracted feature interval. 856-865 - Ümit Çelik, Haluk Eren:
Stereoscopic cell tracking for evaluating cell motility and mobility validated by deep learning. 866-877 - B. H. Shekar, Habtu Hailu:
An efficient stacked ensemble model for the detection of COVID-19 and skin cancer using fused feature of transfer learning and handcrafted methods. 878-894 - Valter Augusto de Freitas Barbosa, Anderson Félix da Silva, Maíra Araújo de Santana, Rian Rabelo de Azevedo, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos:
Deep-Wavelets and convolutional neural networks to support breast cancer diagnosis on thermography images. 895-913 - Byra Reddy G. R., H. Prasanna Kumar:
Segmentation of mammogram images using level set with Cuckoo search optimisation. 914-921 - Keyonna McKinsey, Angela K. Thompson, Raymond Dsouza, Gina Bertocci:
Development of a model to predict 3D femur morphology in infants and young children. 922-932 - Rajarajeswari Perepi, K. Santhi, R. Saraswathi, O. Anwar Bég:
Predictive analysis of COVID 19 disease based on mathematical modelling and machine learning techniques. 933-941 - Kodai Ezaki, Soichiro Kato, Yoshihiro Yamaguchi, Toshiyuki Tanaka:
Diagnosis support system for skin grafting using GrowCut with an automated seed selection. 942-959 - Bansode Balbhim Narhari, Bakwad Kamlakar Murlidhar, Ajij Dildar Sayyad, Ganesh Shahubha Sable:
Deep CNN-based feature extraction with optimised LSTM for enhanced diabetic retinopathy detection. 960-975 - Asma Zizaan, Ali Idri:
Machine learning based Breast Cancer screening: trends, challenges, and opportunities. 976-996
Volume 11, Number 4, July 2023
- Jean-Paul Mazellier, Cindy Rolland, Emilie Wernert, Julieta Montanelli, Alexandre Hostettler, Lee Swanstrom, Benoit Gallix, Leonardo Sosa Valencia, Toby Collins, Nicolas Padoy:
Electromagnetic tracking of endoscopic ultrasound probe for pancreas examination: accuracy assessment under realistic medical conditions. 997-1004 - Laura Oliva-Maza, Florian Steidle, Julian Klodmann, Klaus H. Strobl, Rudolph Triebel:
An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy. 1005-1011 - Xiaoyang Zou, Wenyong Liu, Junchen Wang, Rong Tao, Guoyan Zheng:
ARST: auto-regressive surgical transformer for phase recognition from laparoscopic videos. 1012-1018 - Jiayi Xu, Gaspard Thevenon, Timothée Chabat, Matthew McCormick, Forrest Li, Tom Birdsong, Ken Martin, Yueh Lee, Stephen R. Aylward:
Interactive, in-browser cinematic volume rendering of medical images. 1019-1026 - Yonghao Long, Chengkun Li, Qi Dou:
Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction. 1027-1032 - Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. 1033-1041 - Tianyu Song, Kevin Yu, Ulrich Eck, Nassir Navab:
Augmented reality collaborative medical displays (ARC-MeDs) for multi-user surgical planning and intra-operative communication. 1042-1049 - Masahiro Oda, Kazuhiro Furukawa, Nassir Navab, Kensaku Mori:
KST-Mixer: kinematic spatio-temporal data mixer for colon shape estimation. 1050-1056 - Alexandre Krebs, Jean-Paul Mazellier, Cindy Rolland, Adrien Meyer, Julien Bert, Juan Verde, Nicolas Padoy:
Multi-objective optimization for X-ray exposure reduction during image-guided needle-based procedure. 1057-1063 - Bokai Zhang, Darrick Sturgeon, Arjun Ravi Shankar, Varun Kejriwal Goel, Jocelyn Barker, Amer Ghanem, Philip Lee, Meghan Milecky, Natalie Stottler, Svetlana Petculescu:
Surgical instrument recognition for instrument usage documentation and surgical video library indexing. 1064-1072 - Gesiren Zhang, Jan Ulrich Bartels, Alejandro Martin-Gomez, Mehran Armand:
Towards reducing visual workload in surgical navigation: proof-of-concept of an augmented reality haptic guidance system. 1073-1080 - Amaia Iribar-Zabala, Rafael Benito, Gaspar Sánchez-Merino, Camilo Cortés, M. Angeles Garcia-Fidalgo, Karen López-Linares, Álvaro Bertelsen:
MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy. 1081-1089 - Daniel R. Allen, Collin Clarke, Terry M. Peters, Elvis C. S. Chen:
Development and evaluation of an open-source virtual reality C-Arm simulator. 1090-1095 - Ku Ping Cheng, Alejandro Martin-Gomez, Cong Gao, Robert B. Grupp, Simon C. Mears, Mehran Armand:
Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualisation of Bone Defects. 1096-1105 - Anja Pantovic, Irène Ollivier, Caroline Essert:
Hybrid U-Net for segmentation of SEEG electrodes on post-operative CT scans. 1106-1112 - Lennart Bastian, Tobias Czempiel, Christian Heiliger, Konrad Karcz, Ulrich Eck, Benjamin Busam, Nassir Navab:
Know your sensors - a modality study for surgical action classification. 1113-1121 - Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Hayato Itoh, Hirotoshi Honma, Hirotsugu Takebatake, Masaki Mori, Hiroshi Natori, Kensaku Mori:
Anatomy aware-based 2.5D bronchoscope tracking for image-guided bronchoscopic navigation. 1122-1129 - Benjamin D. Killeen, Jonas Winter, Wenhao Gu, Alejandro Martin-Gomez, Russell H. Taylor, Greg Osgood, Mathias Unberath:
Mixed reality interfaces for achieving desired views with robotic X-ray systems. 1130-1135 - Antoine Fleurentin, Jean-Paul Mazellier, Adrien Meyer, Julieta Montanelli, Lee Swanstrom, Benoit Gallix, Leonardo Sosa Valencia, Nicolas Padoy:
Automatic pancreas anatomical part detection in endoscopic ultrasound videos. 1136-1142 - Fahimeh Fooladgar, Minh Nguyen Nhat To, Golara Javadi, Samira Sojoudi, Walid Eshumani, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
Semi-supervised learning from coarse histopathology labels. 1143-1150 - João Victor Galvão da Mata, Henry Krumb, Utkarsh Mishra, Anirban Mukhopadhyay, Caroline Essert:
MANGO: low-cost open source needle guidance. 1151-1157 - Laura Schütz, Emmanuelle Weber, Wally Niu, Bruce L. Daniel, Jennifer A. McNab, Nassir Navab, Christoph Leuze:
Audiovisual augmentation for coil positioning in transcranial magnetic stimulation. 1158-1165 - Sophia Bano, Francisco Vasconcelos, Anna L. David, Jan Deprest, Danail Stoyanov:
Placental vessel-guided hybrid framework for fetoscopic mosaicking. 1166-1171 - Jianhai Zhang, Fouzi Bala, Petra Cimflova, Nishita Singh, Faysal Benali, Michael D. Hill, Bijoy K. Menon, Wu Qiu:
SPD matrices representing artery anatomy for first-pass effect prediction by aggregated networks with multi-scale attentions. 1172-1177 - Ryo Furukawa, Michihiro Mikamo, Ryusuke Sagawa, Yuki Okamoto, Shiro Oka, Shinji Tanaka, Hiroshi Kawasaki:
Multi-frame optimisation for active stereo with inverse renderingto obtain consistent shape and projector-camera posesfor 3D endoscopic system. 1178-1186 - Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori:
Boundary-aware feature and prediction refinement for polyp segmentation. 1187-1196 - Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders:
3D human pose estimation in multi-view operating room videos using differentiable camera projections. 1197-1205 - Alistair Weld, João Cartucho, Chi Xu, Joseph Davids, Stamatia Giannarou:
Regularising disparity estimation via multi task learning with structured light reconstruction. 1206-1214