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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 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 - Charlie Budd, Luis C. García-Peraza-Herrera, Martin Huber, Sébastien Ourselin, Tom Vercauteren:
Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. 1215-1224 - Naghmeh Bagher Zadeh Ansari, Étienne Léger, Marta Kersten-Oertel:
VentroAR: an augmented reality platform for ventriculostomy using the Microsoft HoloLens. 1225-1233 - Mingxu Liu, Alejandro Martin-Gomez, Julius K. Oni, Simon C. Mears, Mehran Armand:
Towards visualising early-stage osteonecrosis using intraoperative imaging modalities. 1234-1242 - Lovis Schwenderling, Anna Kleinau, Wilhelm Herbrich, Haswanth Kasireddy, Florian Heinrich, Christian Hansen:
Activation modes for gesture-based interaction with a magic lens in AR anatomy visualisation. 1243-1250 - Kilian Chandelon, Rasoul Sharifian, Salomé Marchand, Abderrahmane Khaddad, Nicolas Bourdel, Nicolas Mottet, Jean-Christophe Bernhard, Adrien Bartoli:
Kidney tracking for live augmented reality in stereoscopic mini-invasive partial nephrectomy. 1251-1260 - SeulGi Hong, Seungbum Hong, Junyoung Jang, Keunyoung Kim, Woo Jin Hyung, Min-Kook Choi:
Amplifying action-context greater: image segmentation-guided intraoperative active bleeding detection. 1261-1270 - Kai Jiang, Masahiro Oda, Yuichiro Hayashi, Hironari Shiwaku, Masashi Misawa, Kensaku Mori:
Oesophagus Achalasia Diagnosis from Esophagoscopy Based on a Serial Multi-scale Network. 1271-1280 - Lalith Sharan, Halvar Kelm, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
mvHOTA: A multi-view higher order tracking accuracy metric to measure temporal and spatial associations in multi-point tracking. 1281-1289 - Luis C. García-Peraza-Herrera, Conor C. Horgan, Sébastien Ourselin, Michael Ebner, Tom Vercauteren:
Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). 1290-1298 - Julian Ronald Abbing, Frank J. Voskens, Beerend G. A. Gerats, Ruby Mae Egging, Fausto Milletari, Ivo A. M. J. Broeders:
Towards an AI-based assessment model of surgical difficulty during early phase laparoscopic cholecystectomy. 1299-1306 - Fryderyk Victor Kögl, Étienne Léger, Nazim Haouchine, Erickson Torio, Parikshit Juvekar, Nassir Navab, Tina Kapur, Steve Pieper, Alexandra J. Golby, Sarah F. Frisken:
A tool-free neuronavigation method based on single-view hand tracking. 1307-1315 - Arman Ghavidel, Rouzbeh Ghousi, Alireza Atashi:
An ensemble data mining approach to discover medical patterns and provide a system to predict the mortality in the ICU of cardiac surgery based on stacking machine learning method. 1316-1326 - Bernardo Peters Menezes Silva, Laís Bastos Pinheiro, Brenda Pereira Pinheiro Sobrinho, Fernanda Pereira Lima, Bruna Pereira Pinheiro Sobrinho, Kalyf Abdalla Buzar Lima, Matheus Melo Pithon, Patrícia Ramos Cury, Luciano Rebouças de Oliveira:
Boosting research on dental panoramic radiographs: a challenging data set, baselines, and a task central online platform for benchmark. 1327-1347 - Niharika Das, Sujoy Das:
A review on right ventricle cardiac MRI segmentation. 1348-1358 - Nada Haj Messaoud, Asma Mansour, Mouna Aissi, Rim Ayari, Mahbouba Frih, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Automated segmentation of multiple sclerosis lesions based on convolutional neural networks. 1359-1377 - Willian Pulido Beneducci, Marcelo Lucchesi Teixeira, Hélio Pedrini:
Dental shade matching assisted by computer vision techniques. 1378-1396 - Shima Pooyesh, Saghar Foshati, Malihe Sabeti, Hamid Parvin, Alireza Aminsharifi:
Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm. 1397-1407 - Aashish Joshi, Kailash Karande:
Comprehensive survey on analysis and modelling of femur bone fracture for an operative planning. 1408-1417 - Priyanka Shivaprasad More, Baljit Singh Saini:
Competitive verse water wave optimisation enabled COVID-Net for COVID-19 detection from chest X-ray images. 1418-1430 - Michela Bozzetto, Luca Soliveri, Jessica Volpi, Andrea Remuzzi, Antonio Barbieri, Luigi A. A. Lanterna, Ettore Lanzarone:
Computational fluid dynamic modeling of flow-altering surgical procedures: feasibility assessment on saccular aneurysm case study. 1431-1437 - M. Mohana Dhas, N. Suresh Singh:
Optimized Haar wavelet-based blood cell image denoising with improved multiverse optimization algorithm. 1438-1449 - T. Lurthu Pushparaj, E. Fantin Irudaya Raj, E. Francy Irudaya Rani:
A detailed review of contrast-enhanced fluorescence magnetic resonance imaging techniques for earlier prediction and easy detection of COVID-19. 1450-1462 - Elaouaber Zineb Aziza, Amel Feroui, Mohammed El Amine Lazouni, Messadi Mohamed:
Blood vessel segmentation using deep learning architectures for aid diagnosis of diabetic retinopathy. 1463-1477 - Shusong Huang, Monica Sigovan, Bruno Sixou:
POD method for acceleration of blood flow reconstruction in a vessel with contrast enhanced X-ray CT. 1478-1490 - Ranjitha U. N., Gowtham M. A.:
BCDU-Net and chronological-AVO based ensemble learning for lung nodule segmentation and classification. 1491-1511 - Buket Toptas, Davut Hanbay:
Separation of arteries and veins in retinal fundus images with a new CNN architecture. 1512-1522 - Saeed Moslehi, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu:
Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptors. 1523-1531 - Ritesh Sonawane, Hitendra Patil:
A design and implementation of heart disease prediction model using data and ECG signal through hybrid clustering. 1532-1548 - Ali Noshad, Saeed Fallahi:
A new hybrid framework based on deep neural networks and JAYA optimization algorithm for feature selection using SVM applied to classification of acute lymphoblastic Leukaemia. 1549-1566 - Samira Jafari, Afshin Almasi, Hamid Sharini, Sajad Heydari, Nader Salari:
Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool. 1567-1577
Volume 11, Number 5, September 2023
- Mayuri Popat, Sanskruti Patel:
Research perspective and review towards brain tumour segmentation and classification using different image modalities. 1579-1597 - N. V. L. M. Krishna Munagala, Lakshmi Rajeswara Rao Langoju, A. Daisy Rani, D. V. Rama Koti Reddy:
Optimised ensemble learning-based IoT-enabled heart disease monitoring system: an optimal fuzzy ranking concept. 1598-1614 - Madhura Kalbhor, Swati Shinde, Hrushikesh Joshi, Pankaj Wajire:
Pap smear-based cervical cancer detection using hybrid deep learning and performance evaluation. 1615-1624 - Pranoti Durgadas Nage, Sanjay S. Shitole, Manesh Kokare:
An intelligent approach for detection and grading of diabetic retinopathy and diabetic macular edema using retinal images. 1625-1640 - Karthi S., L. R. Sudha, M. Navaneetha Krishnan:
Water cycle tunicate swarm algorithm based deep residual network for virus detection with gene expression data. 1641-1651 - Sayed Ahmadreza Razian, Majid Jadidi:
Histology Image Viewer and Converter (HIVC): a high-speed freeware software to view and convert whole slide histology images. 1652-1660 - Vikas Gajananrao Bhowate, T. Hanumantha Reddy:
Spark-based deep classifier framework for imbalanced data classification. 1661-1677 - Pandia Rajan Jeyaraj, Edward Rajan Samuel Nadar:
Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network. 1678-1689 - U. B. Balagalla, J. V. D. Jayasooriya, Chamitha de Alwis, A. Subasinghe:
Automated segmentation of standard scanning planes to measure biometric parameters in foetal ultrasound images - a survey. 1690-1707 - Raviraj D. Chougala, R. H. Havaldar:
Systematic assessment and review of techniques based on tumour detection in brain using MRI. 1708-1716 - David J. Lillyman, Evie C. Barnett, Tyler J. Miller, Rebecca A. Wachs:
Application of microcomputed tomography to calculate rat intervertebral disc volume as a surrogate measure of degeneration. 1717-1723 - Bruno A. Krinski, Daniel Vitor Ruiz, Rayson Laroca, Eduardo Todt:
DACov: a deeper analysis of data augmentation on the computed tomography segmentation problem. 1724-1741 - Deepa S, Shakila S:
Diagnosis and detection of COVID-19 infection on X-Ray and CT scans using deep learning based generative adversarial network. 1742-1752 - Thangavel Saravanan, Selvaraj Saravanakumar:
Machine Learning Model and Cuckoo Search in a modular system to identify Alzheimer's disease from MRI scan images. 1753-1761 - Rajneesh Kumar Patel, Manish Kashyap:
Machine learning- based lung disease diagnosis from CT images using Gabor features in Littlewood Paley empirical wavelet transform (LPEWT) and LLE. 1762-1776 - Santosh Kumar Tripathy, Subodh Srivastava, Rajeev Srivastava:
MHAMD-MST-CNN: multiscale head attention guided multiscale density maps fusion for video crowd counting via multi-attention spatial-temporal CNN. 1777-1790 - Takahiro Kikuchi, Yukihiro Michiwaki, Hideyuki Azegami:
Identification of muscle activities involved in hyoid bone movement during swallowing using computer simulation. 1791-1802 - J. Glory Precious, Keren Evangeline I., S. P. Angeline Kirubha:
Brain tumour segmentation and survival prognostication using 3D radiomics features and machine learning algorithms. 1803-1817 - M. K. M. Rahman, H. M. Tanvir Shuvo:
An improved MI recognition by localising feature extraction in both frequency and time domains. 1818-1830 - Viswanadham Baby Koti Lakshmi Aruna, Chitra Ekambaram:
An ECG Signal Compression Technique Using Fast Normalised Least Mean Square Algorithm. 1831-1838 - Srinivas Adapa, Vamsidhar Enireddy:
Multimodal face shape detection based on human temperament with hybrid feature fusion and Inception V3 extraction model. 1839-1857 - Sabyasachi Mukherjee, Oishila Bandyopadhyay, Arindam Biswas, Bhargab B. Bhattacharya:
Tracking patellar osteophytes to detect osteoarthritis. 1858-1868 - Guoqing Xia, Tianfei Ran, Huan Wu, Min Wang, Jun Pan:
The Development of Mask R-CNN to Detect Osteosarcoma and Oste-ochondroma in X-ray Radiographs. 1869-1875 - Júlia Beatriz A. Teixeira, Mariana T. Rezende, Débora Nasser Diniz, Cláudia M. Carneiro, Eduardo José da Silva Luz, Marcone J. F. Souza, Daniela M. Ushizima, Fátima N. S. de Medeiros, Andrea Gomes Campos Bianchi:
Segmentation of cervical nuclei using convolutional neural network for conventional cytology. 1876-1888 - Daniel S. Luz, Tomaz Bisneto, Thiago José Barbosa Lima, Mano Joseph Mathew, Flávio H. D. Araújo:
Malignant breast lesions detection in histopathological images based on the combination of bioinspired texture descriptors and deep features. 1889-1896 - Marcus Vinicius S. L. Oliveira, Caio Eduardo Falcão Matos, Geraldo Braz Junior, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Gabriel J. S. Costa, Matheus L. L. Bessa, Mario P. Freitas Filho:
A PPM-based UNet for Tumour and Kidney Segmentation in CTScans. 1897-1905 - Bharath M. R., K. A. Radhakrishna Rao:
Optimal Score Level Fusion for Multi-Modal Biometric System with Optimised Deep Ensemble Technique. 1906-1920 - Pravin Shivaji Bidkar, Ram Kumar, Abhijyoti Ghosh:
Hybrid Adam Sewing Training Optimization Enabled Deep Learning for Brain Tumor Segmentation and Classification using MRI Images. 1921-1936 - V. Desika Vinayaki, R. Kalaiselvi:
AHO-MLCNN: archerfish hunting optimisation based modified lightweight CNN for diabetic retinopathy detection. 1937-1946 - Ganesh Kumar M, Agam Das Goswami:
Knee osteoarthritis classification using social wolf swarm-based deep convolutional neural network. 1947-1959 - Daniel Ruz-Suarez, Anabel Martín-González, Carlos Brito-Loeza, Víctor Uc-Cetina:
Fully-convolutional neural networks ensemble for comet segmentation in single cell gel electrophoresis assay images. 1960-1972 - Praveen SR Konduri, G. Siva Nageswara Rao:
Surgical phase recognition in laparoscopic videos using gated capsule autoencoder model. 1973-1995 - Luiz Souza, Jefferson Silva, Paulo Chagas, Angelo Amâncio Duarte, Washington L. C. dos-Santos, Luciano Oliveira:
Mouse-to-human transfer learning for glomerulus segmentation. 1996-2005 - Florian Beguet, Thierry Cresson, Matthieu Schmittbuhl, Cédric Doucet, David Camirand, Philippe Harris, Jean-Luc Mari, Jacques A. de Guise:
Semi-automatic 3D reconstruction of middle and inner ear structures using CBCT. 2006-2019 - Sweta Nishant Padman, Dhiraj Magare:
Multi-modal speech emotion detection using optimised deep neural network classifier. 2020-2038 - S. Roselin Mary, R. Murali Prasad, R. Suguna:
A feature selection using improved dragonfly algorithm with support vector machine for breast cancer prediction. 2039-2049 - M. N. Sharada Guptha, M. N. Eshwarappa:
Optimized Deep Learning-Based Fully Resolution Convolution Neural Network for Breast Tumour Segmentation on Field Programmable Gate Array. 2050-2069 - Syed Munawwar, P. V. Gopi Krishna Rao:
Medical image fusion based on multi-scale decomposition using hybrid deep learning network model. 2070-2080
Volume 11, Number 6, November 2023
- Yixiang Deng, He Li:
Deep learning for few-shot white blood cell image classification and feature learning. 2081-2091 - J. Ameera Beegom, Thomas Brindha:
A systematic analysis and review of COVID-19 detection techniques using CT image. 2092-2105 - Vinodkumar Jacob, G. V. R. Sagar, Kavita Goura, P. S. Subhashini Pedalanka:
Brain tumor classification based on deep CNN and modified butterfly optimization algorithm. 2106-2117 - Prasenjit Dhar, K. Suganya Devi, P. Srinivasan:
CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine. 2118-2129 - Vijaya Patnaik, Monalisa Mohanty, Asit Kumar Subudhi:
Identification of COVID-19 using chest X-Ray images. 2130-2144 - Kenan Morani, Devrim Ünay:
Deep learning-based automated COVID-19 classification from computed tomography images. 2145-2160 - Harmandeep Singh, Vipul Sharma, Damanpreet Singh:
Breast mass segmentation using mammographic data: a systematic review. 2161-2182 - Vanshika Rastogi, Ajit Kumar Jain:
Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier. 2183-2195 - Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Task-specific self-supervision for CT image denoising. 2196-2208 - P. Saranya, P. Asha:
Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm. 2209-2225 - Asok Bandyopadhyay, Himanka Sekhar Mondal, Bivas Dam, Dipak Chandra Patranabis:
Efficient infrared image processing and machine learning algorithm for breast cancer screening. 2226-2238 - K. Tarakeswara Rao, K. Sridevi:
Development of tuned hybrid fuzzy and BiLSTM-based epileptic seizure classification model with stacked 1D-CNN-fisher discriminant feature selection. 2239-2261 - Santwana Gudadhe, Anuradha D. Thakare:
Multivariate Analysis of Ischaemic Lesions Using Computed Tomography and CT Perfusion Imaging: Critical Review. 2262-2277 - Shailaja N. Uke, Amol V. Zade:
An enhanced artificial neural network for hand gesture recognition using multi-modal features. 2278-2289 - Birajadar Ganesh Basawaraj, Channappa Bhyri:
Hybrid coyote predator with DL network for brain disorder detection using EEG signals. 2290-2304 - Zakaria El Khadiri, Rachid Latif, Amine Saddik:
An efficient hybrid algorithm for non-contact physiological sign monitoring using plethysmography wave analysis. 2305-2321 - T. Kalavathi Devi, K. N. Baluprithviraj, M. Madhan Mohan, S. Umadevi, P. Sakthivel, P. Rajeshwari, B. Vinodha:
Non-invasive method for the prediction of micronutrient deficiency using sequential learning techniques. 2322-2332 - A Pon Bharathi, P. Srinivasan, A S. Sarika, D. Vedha Vinodha, K. G. Parthiban:
Chronological golden search optimization-based deep learning for classification of heartbeat using ECG signal. 2333-2349 - Yingping Wang, Xing Deng, Haijian Shao, Yingtao Jiang:
Multi-scale feature fusion for histopathological image categorisation in breast cancer. 2350-2362 - Nishat Shaikh, Parth Shah:
Automated lung cancer diagnosis using swarm intelligence with deep learning. 2363-2385 - Jyoti Prakash Medhi, R. Sandeep, Pranami Datta, Tousif Khan Nizami:
Intelligent identification and classification of diabetic retinopathy using fuzzy inference system. 2386-2399 - Rupesh Goverdhan Mundada, Devesh D. Nawgaje:
U-Net-based gannet sine cosine algorithm enabled lesion segmentation and deep CNN for diabetic retinopathy classification. 2400-2417 - Priyanka Kaushik, S. R. Nirmala:
Automated system for detection and classification of cystoid macular oedema using OCT images. 2418-2432 - Stephan Rothstock, José María González-Ruiz, Hans-Rudolf Weiss, Deborah Turnbull, Daniel Krueger:
Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis. 2433-2439 - Amir Abbasi, Sepideh Bahrami, Tahere Hemmati, Seyed Abolghasem Mirroshandel:
Transfer-GAN: data augmentation using a fine-tuned GAN for sperm morphology classification. 2440-2456 - C. Mary Shiba, M. Navaneethakrishnan, V. Kalaipriya, E. Jothi, S. Gowsalya:
A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images. 2457-2478 - Talal Bonny, Mahmmud Qatmh, Khaled Obaideen, Maryam Nooman AlMallahi, Mohammad Al-Shabi, Ahmed Al-Shamma'a:
Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation. 2479-2494 - Aseel Tayeh Swadi, Firas Sabar Miften:
Detection of attention deficit hyperactivity disorder based on EEG signals using Least Square Support Vector Machine (LS-SVM). 2495-2507 - Rajneesh Kumar Patel, Manish Kashyap:
The study of various registration methods based on maximal stable extremal region and machine learning. 2508-2515 - Fatema-Tuz-Zohra Khanam, Ali Al-Naji, Asanka G. Perera, Danyi Wang, Javaan S. Chahl:
Non-invasive and non-contact automatic jaundice detection of infants based on random forest. 2516-2529 - S. Steffi:
Automated microaneurysms detection in retinal images using SSA optimised U-NET and Bayesian optimised CNN. 2530-2546 - S. Jayachandran, A. Jemshia Miriam:
An efficient approach for detecting brain tumors using a modified artificial neural network. 2547-2559 - Pablo de Abreu Vieira, Luis H. S. Vogado, Lucas A. Lopes, Ricardo de A. L. Rabelo, Pedro de A. Santos Neto, Mano Joseph Mathew, Deborah Maria Vieira Magalhães, Romuere R. V. e Silva:
Deep learning approach for disease detection in lumbosacral spine radiographs using ConvNet. 2560-2575
Volume 11, Number 7, January 2024
- Preecha Vonghirandecha, Supaporn Kansomkeat, Patama Bhurayanontachai, Pannipa Sae-Ueng, Sathit Intajag:
Decorrelation stretch for enhancing colour fundus photographs affected by cataracts. - Ahmet Tas, Yaren Alan, Ilke Kara, Abdullah Savas, Muhammed Ikbal Bayhan, Diren Ekici, Zeynep Atay, Fatih Sezer, Cagla Kitapli, Sabahattin Umman, Murat Sezer:
Presence of hypertension might pose a potential pitfall in detection of diabetes mellitus non-invasively using the second derivative of photoplethysmography. - S. Kranthi, D. Lakshmi Padmaja, Nageswara Rao Medikondu, Pinki Nayak, Babita K. Verma:
Multiple feature based brain tumour detection and classification using extreme learning machine for accurate medical diagnostics. - Abhinandan Kumar Tiwari, Manoj Kumar Mishra, Amiya Ranjan Panda, Bikramaditya Panda:
Survey on computer-aided automated melanoma detection. - Usman Hameed, Mujeeb Ur Rehman, Amjad Rehman, Robertas Damasevicius, Abdul Sattar, Tanzila Saba:
A deep learning approach for liver cancer detection in CT scans. - Marco A. V. M. Grinet, Ana Isabel Rodrigues Gouveia, Abel João Padrão Gomes:
Machine learning in breast cancer imaging: a review on data, models and methods. - Vaira Suganthi Gnanasekaran, Sutha Joypaul, Parvathy Meenakshi Sundaram, N. Muthamil Selvi:
Genetic algorithm for feature selection in mammograms for breast masses classification. - Helano Miguel B. F. Portela, Rodrigo M. S. Veras, Luis H. S. Vogado, Daniel Leite, Paulo E. Ambrósio, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares:
A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning. - Imtiez Fliss, Wiem Zemzem:
A novel PSO-ViT approach for facial emotion recognition. - Rupali Mangrule, Khan Rahat Afreen:
Automated sugarcane crop disease forecasting with colour and texture features. - R. Bhuvaneswari, M. Diviya, M. Subramanian, Ramya Maranan, R. Josphineleela:
Hybrid generative model for grading the severity of diabetic retinopathy images. - Amit Kukker, Rajneesh Sharma, Om Mishra, Deepak Parashar:
Epileptic seizure classification using fuzzy lattices and Neural Reinforcement Learning. - Jampani Ravi, R. Narmadha:
Multimodality medical image fusion analysis with multi-plane features of PET and MRI images using ONSCT. - P. Pradeepa, M. K. Jeyakumar:
Chronic kidney disease prediction using improved deep belief network with local search nearest neighbour optimization. - Amarjeet Poonia, Virendra Kumar Sharma, Hari Kumar Singh, Saurabh Maheshwari:
Heuristically optimized weighted feature fusion with adaptive cascaded deep network: a novel breast cancer detection framework using mammogram images. - Ashanand, Manpreet Kaur:
A novel chaotic weighted EHO-based methodology for retinal vessel segmentation. - Mehran Azimbagirad, Guillaume Dardenne, Douraied Ben Salem, Jean-David Werthel, François Boux de Casson, Eric Stindel, Charles Garraud, Olivier Rémy-Néris, Valérie Burdin:
Robust semi-automatic segmentation method: an expert assistant tool for muscles in CT and MR data. - Zachary Fishman, J. A. Fialkov, Cari M. Whyne:
Comparing densely calculated facial soft tissue depths for craniofacial reconstruction: Euclidean vs. perpendicular distances. - Allam Balaram, N. Ramesh, N. S. Koti Mani Kumar Tirumanadham:
ELM-based stroke classification using wavelet and empirical mode decomposition techniques. - Sanjib Saha, Debashis Nandi:
LM-DNN: pre-trained DNN with LSTM and cross Fold validation for detecting viral pneumonia from chest CT. - Merve Kordemir, Kerim Kursat Cevik, Ahmet Bozkurt:
A mask R-CNN approach for detection and classification of brain tumours from MR images. - Mina Esfandiarkhani, Amir Hossein Foruzan:
Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs. - S. Nagendiran, S. Rohini, P. Jagadeesan, S. Shankari, R. Harini:
DiabPrednet: development of attention-based long short-term memory-based diabetes prediction model with optimal weighted feature fusion mechanism. - G. Venkata Rami Reddy, Abboju Niranjan:
War Snake Optimisation Algorithm with deep Q-Net for COVID-19 classification. - Sanjib Kumar Dhara, Nilankar Bhanja, Prabodh Khampariya:
An adaptive heart disease diagnosis via ECG signal analysis with deep feature extraction and enhanced radial basis function. - Amani Al-Ghraibah, Muneera Altayeb, Feras A. Alnaimat:
An automated system to distinguish between Corona and Viral Pneumonia chest diseases based on image processing techniques. - Mohamed Amine Guerroudji, Kahina Amara, Nadia Zenati:
HoloBrain: 3D low-cost mobile augmented reality rendering of brain tumour using the GVF snake model segmentation. - A. Nirmala Devi, R. Rathna:
EEG data based human attention recognition using various machine learning techniques: a review. - Callum John Thornton, Michael J. Chappell, Neil D. Evans, Joseph Hardwicke:
Portable markerless hand motion capture system for determining the grasps performed in activities of daily living. - Ali Ammar, Naseem Alsadi, Jonathan D. Adachi, Stephen A. Gadsden, Cheryl E. Quenneville:
A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos). - Chaouki Boufenar, Tété Elom Mike Norbert Logovi, Djemai Samir, Imad Eddine Lassakeur:
Computer-aided diagnosis of Canine Hip Dysplasia using deep learning approach in a novel X-ray image dataset. - Anaïs Chaumeil, Antoine Muller, Raphaël Dumas, Thomas Robert:
Effect of a confidence-based weighted 3D point reconstruction for markerless motion capture with a reduced number of cameras. - Shaowei Wang, Qizhi Fu, Wenna Chen, Jincan Zhang, Ganqin Du, Hongwei Jiang, Jinghua Li, Xin Zhao:
Hybrid feature extraction technique for automatic classification of COVID-19 chest CT images. 2627-2636 - Yeqiang Luo, Jing Liang, Shanghui Lin, Tianmo Bai, Lingchuang Kong, Yan Jin, Xin Zhang, Baofeng Li, Bei Chen:
The application of deep learning methods in knee joint sports injury diseases. 2689-2696 - Haobo Yu, Adam Bartlett, Harvey Ho:
A web-based human liver atlas. 2697-2699 - Kieran Armstrong, Carolyn Kincade, Martin Osswald, Jana Rieger, Daniel Aalto:
A prototype smartphone jaw tracking application to quantitatively model tooth contact. 2713-2724 - Natalia de Sousa Freire, Pedro Paulo de Souza Leo, Leonardo Albuquerque Tiago, Alberto de Almeida Campos Gonalves, Rafael Albuquerque Pinto, Eulanda Miranda dos Santos, Eduardo Souto:
Analysis of generalizability on predicting COVID-19 from chest X-ray images using pre-trained deep models. 2725-2735 - Roberto Mena, Enrique Peláez, Francis R. Loayza, Alex Macas, Heydy Franco-Maldonado:
An artificial intelligence approach for segmenting and classifying brain lesions caused by stroke. 2736-2747
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