PloS one

Sensors (Basel, Switzerland)

Academic radiology

Studies in health technology and informatics

medical hypotheses

international journal of computer assisted radiology and surgery

ieee transactions on computational imaging

[1] Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset.

[2] Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network.

[3] Deep learning for automated cerebral aneurysm detection on computed tomography images.

[4] Super-Resolution PET Imaging Using Convolutional Neural Networks.

[5] Simultaneous Semantic Segmentation and Depth Completion with Constraint of Boundary.

[6] Recognition and Repetition Counting for Local Muscular Endurance Exercises in Exercise-Based Rehabilitation: A Comparative Study Using Artificial Intelligence Models.

[7] A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

[8] audio-replay attacks spoofing detection for speaker recognition systems

[9] Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction

[10] Efficient Binarized Convolutional Layers for Visual Inspection Applications on Resource-Limited FPGAs and ASICs

[11] Time-Frequency Distribution Map-Based Convolutional Neural Network (CNN) Model for Underwater Pipeline Leakage Detection Using Acoustic Signals

[12] Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN).

[13] AU R-CNN: Encoding expert prior knowledge into R-CNN for action unit detection

[14] CNN-Based Adversarial Embedding for Image Steganography

[15] An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

[16] PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features

[17] Dynamic Facial Expression Recognition based on Two-Stream-CNN with LBP-TOP

[18] Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules

[19] Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-Free.

[20] IFCNN: A general image fusion framework based on convolutional neural network

[21] Exploiting supervised learning for finetuning deep CNNs in content based image retrieval

[22] CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis

[23] Analytic Study of Complex Fractional Tsallis’ Entropy with Applications in CNNs

[24] MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences

[25] A framework for acceleration of CNN training on deeply-pipelined FPGA clusters with work and weight load balancing

[26] DGCNN: A convolutional neural network over large-scale labeled graphs.

[27] Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings.

[28] Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network

[29] Semi-supervised spatio-temporal CNN for recognition of surgical workflow

[30] 3D-CNN based discrimination of schizophrenia using resting-state fMRI.

[31] A two-route CNN model for bank account classification with heterogeneous data.

[32] BoSR: A CNN-based aurora image retrieval method.

[33] Ship Detection Based on Faster R-CNN Network in Optical Remote Sensing Images

[34] Fusion of CNN- and COSFIRE-Based Features with Application to Gender Recognition from Face Images

[35] Detection of Micro-Defects on Irregular Reflective Surfaces Based on Improved Faster R-CNN.

[36] iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks.

[37] Steganalysis of VoIP streams with CNN-LSTM network

[38] BLTRCNN-Based 3-D Articulatory Movement Prediction: Learning Articulatory Synchronicity from Both Text and Audio Inputs

[39] DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation.

[40] Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging.

[41] CNN Based Image Restoration: Adjusting Ill-Exposed sRGB Images in Post-Processing

[42] A nonsubsampled countourlet transform based CNN for real image denoising

[43] FDnCNN-based image denoising for multi-labfel localization measurement

[44] Multifeature extracting CNN with concatenation for image denoising

[45] Two stage residual CNN for texture denoising and structure enhancement on low dose CT image

[46] Image denoising using deep CNN with batch renormalization

[47] CNN-based person detection using infrared images for night-time intrusion warning systems

[48] Writer-aware CNN for parsimonious HMM-based offline handwritten Chinese text recognition

[49] Smart Tactile Sensing Systems Based on Embedded CNN Implementations.

[50] Multimodal fusion of BERT-CNN and gated CNN representations for depression detection

[51] A CNN-RNN Framework for Crop Yield Prediction.

[52] An End-to-End Trainable Multi-Column CNN for Scene Recognition in Extremely Changing Environment.

[53] CIES: Cloud-based Intelligent Evaluation Service for video homework using CNN-LSTM network

[54] Tournament Based Ranking CNN for the Cataract grading.

[55] Inversion of the Thickness of Crude Oil Film Based on an OG-CNN Model

[56] NLOS Identification in WLANs Using Deep LSTM with CNN Features

[57] Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors

[58] Detection of cervical cancer cells based on strong feature CNN-SVM network

[59] Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors

[60] Detecting Cyber Threat Event from Twitter Using IDCNN and BiLSTM

[61] automatic detection of transformer components in inspection images based on improved faster r-cnn

[62] il-4 type 1 receptor signaling up-regulates kcnn4 expression, and increases the kca3.1 current and its contribution to migration of alternative-activated microglia

[63] el mundo cnn: ¿cuál es el próximo país que estados unidos debe invadir? la percepción del consumidor mediático estadounidense y el triunfo de la propaganda

[64] cnndel: calling structural variations on low coverage data based on convolutional neural networks

[65] pcnn-based image fusion in compressed domain

[66] existence and stability of almost periodic solutions for sicnns with neutral type delays

[67] global exponential stability for dcnns with impulses on time scales

[68] a novel fusion framework based on adaptive pcnn in nsct domain for whole-body pet and ct images

[69] Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering

[70] Time-Frequency Distribution Map-Based Convolutional Neural Network (CNN) Model for Underwater Pipeline Leakage Detection Using Acoustic Signals

[71] High Accuracy WiFi-Based Human Activity Classification System with Time-Frequency Diagram CNN Method for Different Places

[72] SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer's disease

[73] Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)

[74] DVS: Blood cancer detection using novel CNN-based ensemble approach

[75] Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model