Articles

Understanding structure-guided variant effect predictions using 3D convolutional neural networks

in Structural Biology

• Gayatri Ramakrishnan
• Coos Baakman
• Stephan Heijl
• Bas Vroling
• Ragna van Horck
• Jeffrey Hiraki
• Li C. Xue
• Martijn A. Huynen

Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots

• Dimitris Papanagiotou
• Gavriela Senteri
• Sotiris Manitsaris

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Contrast-Enhanced MR and 3D Convolutional Neural Networks

in Cancer Imaging and Image-directed Interventions

• Wu Zhou
• Wanwei Jian
• Xiaoping Cen
• Lijuan Zhang
• Hui Guo
• Zaiyi Liu
• Changhong Liang
• Guangyi Wang

Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks

in Neuroimaging

• Rajat Mani Thomas
• Selene Gallo
• Leonardo Cerliani
• Paul Zhutovsky
• Ahmed El-Gazzar
• Guido van Wingen

Action recognition in rehabilitation: combining 3D convolution and LSTM with spatiotemporal attention

in Computational Physiology and Medicine

• Fan Yang
• Shiyu Li
• Chang Sun
• Xingjiang Li
• Zhangbo Xiao

3D network with channel excitation and knowledge distillation for action recognition

• Zhengping Hu
• Jianzeng Mao
• Jianxin Yao
• Shuai Bi

Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative

in Biomechanics

• Pauline Shan Qing Yeoh
• Khin Wee Lai
• Siew Li Goh
• Khairunnisa Hasikin
• Xiang Wu
• Pei Li

Gradient adaptive sampling and multiple temporal scale 3D CNNs for tactile object recognition

• Xiaoliang Qian
• Jia Meng
• Wei Wang
• Liying Jiang

Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices

• Rosanna Turrisi
• Alessandro Verri
• Annalisa Barla

Echocardiography-based AI detection of regional wall motion abnormalities and quantification of cardiac function in myocardial infarction

in Cardiovascular Imaging

• Xixiang Lin
• Feifei Yang
• Yixin Chen
• Xiaotian Chen
• Wenjun Wang
• Xu Chen
• Qiushuang Wang
• Liwei Zhang
• Huayuan Guo
• Bohan Liu

Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practices

in Water and Artificial Intelligence

• Divas Karimanzira
• Jonas Weis
• Andreas Wunsch
• Linda Ritzau
• Tanja Liesch
• Marc Ohmer

Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors

in Artificial Intelligence in Radiology

• P. Raut
• G. Baldini
• M. Schöneck
• L. Caldeira

ACE-SNN: Algorithm-Hardware Co-design of Energy-Efficient & Low-Latency Deep Spiking Neural Networks for 3D Image Recognition

in Neuromorphic Engineering

• Gourav Datta
• Souvik Kundu
• Akhilesh R. Jaiswal
• Peter A. Beerel

Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer’s disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI

in Brain Imaging Methods

• Tamoghna Chattopadhyay
• Saket S. Ozarkar
• Ketaki Buwa
• Neha Ann Joshy
• Dheeraj Komandur
• Jayati Naik
• Sophia I. Thomopoulos
• Greg Ver Steeg
• Jose Luis Ambite
• Paul M. Thompson

3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies

in Brain Imaging Methods

• Stephen G. Wahlig
• Pierre Nedelec
• David A. Weiss
• Jeffrey D. Rudie
• Leo P. Sugrue
• Andreas M. Rauschecker