| 445 | -- | 464 | Ali Abbasian Ardakani, Afshin Mohammadi, Fariborz Faeghi, U. Rajendra Acharya. Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis |
| 465 | -- | 482 | Syed Sajid Hussain, Jainy Sachdeva, Chirag Kamal Ahuja, Abhiav Singh. Enc-Unet: A novel method for Glioma segmentation |
| 483 | -- | 494 | Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya. FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas |
| 495 | -- | 510 | Pallabi Sharma, Dipankar Das, Anmol Gautam, Bunil Kumar Balabantaray. LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification |
| 511 | -- | 522 | Angamuthu Rajasekaran Kavitha, Karthikeyan Palaniappan. Brain tumor segmentation using a deep Shuffled-YOLO network |
| 523 | -- | 546 | Jing Wang, Wenjuan Zhang, Rui Zhu. A multimodal molecular image fusion method based on relative total variation and co-saliency detection |
| 547 | -- | 555 | Heewon Yoon, Yongwon Cho, Kyung-Sik Ahn, Hee-Gone Lee, Chang Ho Kang, Beom-Jin Park. Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images |
| 556 | -- | 571 | Ellák Somfai, Benjámin Baffy, Kristian Fenech, Rita Hosszú, Dorina Korózs, Marcell Pólik, Miklós Sárdy, András Lorincz. Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images |
| 572 | -- | 587 | Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, Abdullah Alqahtani, Shtwai Alsubai, Meshal Alharbi, Nazir Ahmed Malik, Robertas Damasevicius. Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm |
| 588 | -- | 609 | Nitika Goenka, Shamik Tiwari. Alzheimer's detection using various feature extraction approaches using a multimodal multi-class deep learning model |
| 610 | -- | 621 | Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, Yazid Cherfa. Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines |
| 622 | -- | 643 | Zhiwei Ye, Zilun Song, Pengfei Li, Mingwei Wang, Wenguang Hou. A modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based learning hybrid rice optimization algorithm |
| 644 | -- | 658 | K. H. Vijaya Kumari, Soubhagya Sankar Barpanda. Residual UNet with Dual Attention - An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation |
| 659 | -- | 669 | Shobha Jose, Thomas George Selvaraj, Kenneth Samuel, Jobin T. Philip, Sairamya Nanjappan Jothiraj, Subathra Muthu Swamy Pandian, Vikram Shenoy Handiru, Suviseshamuthu Easter Selvan. Intramuscular EMG classifier for detecting myopathy and neuropathy |
| 670 | -- | 679 | Ming Meng, Zhichao Dong, Yunyuan Gao, Qingshan She. Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification |
| 680 | -- | 700 | Ramzi Mahmoudi. Ventricular segmentation and modeling using topological watershed transformation and harmonic state model |
| 701 | -- | 713 | Geetha Sushama, Gopakumar Chandrasekhara Menon. Attention augmented residual autoencoder for efficient polyp segmentation |
| 714 | -- | 728 | Rupesh Mahamune, Shahedul Haque Laskar. An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain-computer interfacing |
| 729 | -- | 745 | P. Vaidehi Nayantara, Surekha Kamath, Manjunath Kanabagatte Nanjundappa, Rajagopal Kadavigere. Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering |
| 746 | -- | 759 | Balakumaresan Ragupathy, Bharath Subramani, Selvapandian Arumugam. A novel approach for MR brain tumor classification and detection using optimal CNN-SVM model |
| 760 | -- | 769 | Muhammet Serdar Bugday, Mehmet Akcicek, Harun Bingol, Muhammed Yildirim. Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient-weighted class activation mapping based deep hybrid model |
| 770 | -- | 0 | . Correction to 'ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis' |