Articles

A Decision-Making Supporting Prediction Method for Breast Cancer Neoadjuvant Chemotherapy

in Pharmacology of Anti-Cancer Drugs

• Dong Song
• Xiaxia Man
• Meng Jin
• Qian Li
• Han Wang
• Ye Du

A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer

in Pathology

• Weiming Hu
• Haoyuan Chen
• Wanli Liu
• Xiaoyan Li
• Hongzan Sun
• Xinyu Huang
• Marcin Grzegorzek
• Chen Li

Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

in Computational Genomics

• Zhihui Ma
• Bin Chen
• Yongjun Zhang
• Jinmei Zeng
• Jianping Tao
• Yu Hu

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis

in Digital Mental Health

• Hakan Kayış
• Murat Çelik
• Vildan Çakır Kardeş
• Hatice Aysima Karabulut
• Ezgi Özkan
• Çınar Gedizlioğlu
• Burcu Özbaran
• Nuray Atasoy

Hybrid deep learning and feature optimization approach for early detection of multiple sclerosis

in Brain Imaging and Stimulation

• Nandini Anam
• Sharief Basha S.
• Chiranji Lal Chowdhary

CCR7-mediated T follicular helper cell differentiation is associated with the pathogenesis and immune microenvironment of spinal cord injury-induced immune deficiency syndrome

in Translational Neuroscience

• Chaochen Li
• Chunshuai Wu
• Guanhua Xu
• Yang Liu
• Jiajia Chen
• Jinlong Zhang
• Hongxiang Hong
• Chunyan Ji
• Zhiming Cui

Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images

• Rui Hua
• Quan Huo
• Yaozong Gao
• He Sui
• Bing Zhang
• Yu Sun
• Zhanhao Mo
• Feng Shi

Few-shot crop disease recognition using sequence- weighted ensemble model-agnostic meta-learning

in Technical Advances in Plant Science

• Junlong Li
• Quan Feng
• Junqi Yang
• Jianhua Zhang
• Sen Yang

Developing a Radiomics Signature for Supratentorial Extra-Ventricular Ependymoma Using Multimodal MR Imaging

in Applied Neuroimaging

• Apoorva Safai
• Sumeet Shinde
• Manali Jadhav
• Tanay Chougule
• Abhilasha Indoria
• Manoj Kumar
• Vani Santosh
• Shumyla Jabeen
• Manish Beniwal
• Subhash Konar

Machine learning-based radiomics approach assessing preoperative non-contrast CT for microsatellite instability prediction in colon cancer

in Computational Physiology and Medicine

• Dongming Ren
• Yingjuan Wang
• Luda Chen
• Jianfeng He
• Tao Shen

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems

in Digital Public Health

• Sashikala Mishra
• Kailash Shaw
• Debahuti Mishra
• Shruti Patil
• Ketan Kotecha
• Satish Kumar
• Simi Bajaj

Explainable AI uncovers novel EEG microstate candidate neurophysiological markers for autism spectrum disorder

• Delna Kuriyakose
• Gowsalya M.

Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: A multi-center study

in Thoracic Oncology

• Lan Shang
• Fang Wang
• Yan Gao
• Chaoxin Zhou
• Jian Wang
• Xinyue Chen
• Aamer Rasheed Chughtai
• Hong Pu
• Guojin Zhang
• Weifang Kong

Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach

in Health Informatics

• Muhammad Kaleem
• Aziz Guergachi
• Sridhar Krishnan

Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach

in Alzheimer's Disease and Related Dementias

• Tingting Zhang
• Qian Liao
• Danmei Zhang
• Chao Zhang
• Jing Yan
• Ronald Ngetich
• Junjun Zhang
• Zhenlan Jin
• Ling Li