Articles

Development of predictive charts for landslide runout based on Monte Carlo simulation and support vector regression

in Geohazards and Georisks

• Jiatao Kang
• Zhiwen Xu
• Shuaikang Zhou
• Linchuan Sha
• Suhua Zhou

Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region

in Cancer Imaging and Image-directed Interventions

• Qiuchang Sun
• Xiaona Lin
• Yuanshen Zhao
• Ling Li
• Kai Yan
• Dong Liang
• Desheng Sun
• Zhi-Cheng Li

PRGminer: harnessing deep learning for the prediction of resistance genes involved in plant defense mechanisms

in Plant Systems and Synthetic Biology

• Naveen Duhan
• Rakesh Kaundal

An Automated Water Task to Test Visual Discrimination Performance, Adaptive Strategies and Stereotyped Choices in Freely Moving Mice

in Learning and Memory

• Mario Treviño
• Esteban Fregoso
• Carlos Sahagún
• Elí Lezama

Metronome-guided training accelerates the adaptation to an aerobic training pace in swimming

in Biomechanics and Control of Human Movement

• Marco Fassone
• Luca Puce
• Monica Biggio
• Laura Avanzino
• Marco Bove
• Ambra Bisio

Automated 2D, 2.5D, and 3D Segmentation of Coral Reef Pointclouds and Orthoprojections

in Robot Vision and Artificial Perception

• Hugh Runyan
• Vid Petrovic
• Clinton B. Edwards
• Nicole Pedersen
• Esmeralda Alcantar
• Falko Kuester
• Stuart A. Sandin

EEFSA-SECM: an enhanced ensemble feature selection and stacking ensemble classifier to detect Parkinson’s disease

in Artificial Intelligence in Neurology

• Vridhi Rajput
• N. Maheswari

Anti-flavi: A Web Platform to Predict Inhibitors of Flaviviruses Using QSAR and Peptidomimetic Approaches

in Virology

• Akanksha Rajput
• Manoj Kumar

Computational Identification of Inhibitors Using QSAR Approach Against Nipah Virus

in Experimental Pharmacology and Drug Discovery

• Akanksha Rajput
• Archit Kumar
• Manoj Kumar

Comparing algorithms for assessing upper limb use with inertial measurement units

in Physio-logging

• Tanya Subash
• Ann David
• StephenSukumaran ReetaJanetSurekha
• Sankaralingam Gayathri
• Selvaraj Samuelkamaleshkumar
• Henry Prakash Magimairaj
• Nebojsa Malesevic
• Christian Antfolk
• Varadhan SKM
• Alejandro Melendez-Calderon

Radiomics signature and deep learning signature of intrathrombus and perithrombus for prediction of malignant cerebral edema after acute ischemic stroke: a multicenter CT study

in Stroke

• Shuhao Wang
• Jingxuan Jiang
• Xiaoli Gu
• Haiqi Wang
• Yangyang Nan
• Xiaoyu Xu
• Chenqing Wang

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

in Biomechanics

• Vasiliki Bikia
• Georgios Rovas
• Nikolaos Stergiopulos

Fusion model combining ultrasound-based radiomics and deep transfer learning with clinical parameters for preoperative prediction of pelvic lymph node metastasis in cervical cancer

in Gynecological Oncology

• Jihan Wang
• Shengxian Bao
• Tongtong Huang
• Yongzhi Cai
• Binbin Jin
• Ji Wu

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke

• Umberto A. Gava
• Federico D’Agata
• Enzo Tartaglione
• Riccardo Renzulli
• Marco Grangetto
• Francesca Bertolino
• Ambra Santonocito
• Edwin Bennink
• Giacomo Vaudano
• Andrea Boghi

i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus

in Experimental Pharmacology and Drug Discovery

• Sakshi Gautam
• Anamika Thakur
• Manoj Kumar

Predicting major adverse cardiovascular events in diabetic and non-diabetic patients with coronary artery disease: visual models integrating multi-parametric coronary computed tomography angiography and pericoronary adipose tissue radiomics

in Cardiovascular Imaging

• Ming Chen
• Xiyi Huang
• Lizhu Ouyang
• Xinjie Chen
• Jialing Pan
• Liwen Wang
• Lanni Zhou
• Fusheng Ouyang
• Qiugen Hu
• Baoliang Guo