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| Open AccessDevelopment of a deep learning model to distinguish the cause of optic disc atrophy using retinal fundus photography
- Dong Kyu Lee
- , Young Jo Choi
- & Yu Rang Park
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| Open AccessEnd-to-end multimodal 3D imaging and machine learning workflow for non-destructive phenotyping of grapevine trunk internal structure
- Romain Fernandez
- , Loïc Le Cunff
- & Cédric Moisy
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| Open AccessIntegrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
- Jun Guo
- , Anahita Fathi Kazerooni
- & Christos Davatzikos
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| Open AccessDevelopment of a promising PPAR signaling pathway-related prognostic prediction model for hepatocellular carcinoma
- Qingmiao Shi
- , Yifan Zeng
- & Lanjuan Li
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| Open AccessMolecular guidelines for promising antimicrobial agents
- Mateusz Rzycki
- , Marta Gładysiewicz-Kudrawiec
- & Sebastian Kraszewski
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| Open AccessEvaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease
- Jooae Choe
- , Hye Young Choi
- & Joon Beom Seo
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| Open AccessA disulfidptosis-related lncRNA signature for predicting prognosis and evaluating the tumor immune microenvironment of lung adenocarcinoma
- Zipei Song
- , Xincen Cao
- & Liang Chen
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| Open AccessComparing the current short-term cancer incidence prediction models in Brazil with state-of-the-art time-series models
- Daniel Bouzon Nagem Assad
- , Patricia Gomes Ferreira da Costa
- & Alfredo Monteiro Scaff
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| Open AccessRadiomics for residual tumour detection and prognosis in newly diagnosed glioblastoma based on postoperative [11C] methionine PET and T1c-w MRI
- Iram Shahzadi
- , Annekatrin Seidlitz
- & Steffen Löck
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| Open AccessIterative pseudo balancing for stem cell microscopy image classification
- Adam Witmer
- & Bir Bhanu
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| Open AccessTransdiagnostic clustering and network analysis for questionnaire-based symptom profiling and drug recommendation in the UK Biobank and a Korean cohort
- Eunjin Lee
- , Dongbin Lee
- & Woong-yang Park
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| Open AccessOptimizing warfarin dosing for patients with atrial fibrillation using machine learning
- Jeremy Petch
- , Walter Nelson
- & Stuart J. Connolly
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| Open AccessNovel antimicrobial peptides against Cutibacterium acnes designed by deep learning
- Qichang Dong
- , Shaohua Wang
- & Lun Yu
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| Open AccessPerson identification with arrhythmic ECG signals using deep convolution neural network
- Awabed Al-Jibreen
- , Saad Al-Ahmadi
- & Abdel Momin Artoli
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| Open AccessLeveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
- Watshara Shoombuatong
- , Nutta Homdee
- & Pramote Chumnanpuen
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| Open AccessTuning attention based long-short term memory neural networks for Parkinson’s disease detection using modified metaheuristics
- Aleksa Cuk
- , Timea Bezdan
- & Nebojsa Bacanin
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| Open AccessNew generative methods for single-cell transcriptome data in bulk RNA sequence deconvolution
- Toui Nishikawa
- , Masatoshi Lee
- & Masataka Amau
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| Open AccessERCP-Net: a channel extension residual structure and adaptive channel attention mechanism for plant leaf disease classification network
- Xiu Ma
- , Wei Chen
- & Yannan Xu
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| Open AccessMachine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients
- Wei Zhang
- , Ruiyue Dang
- & Xuejun Li
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| Open AccessAccelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years
- Andreas Heinrich
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| Open AccessDistinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomics
- Salma Dammak
- , Stephanie Gulstene
- & Aaron D. Ward
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| Open AccessAutomatic enhancement preprocessing for segmentation of low quality cell images
- Sota Kato
- & Kazuhiro Hotta
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| Open AccessNavigating the nuances: comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation
- Felix Quinton
- , Benoit Presles
- & Jean-Louis Alberini
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| Open AccessDigital design of a spatial-pow-STDP learning block with high accuracy utilizing pow CORDIC for large-scale image classifier spatiotemporal SNN
- Mohammad Kazem Bahrami
- & Soheila Nazari
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| Open AccessAn artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes
- Timothy K. Chung
- , Pete H. Gueldner
- & David A. Vorp
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| Open AccessApplication of PET imaging delta radiomics for predicting progression-free survival in rare high-grade glioma
- Shamimeh Ahrari
- , Timothée Zaragori
- & Antoine Verger
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| Open AccessCluster-based histopathology phenotype representation learning by self-supervised multi-class-token hierarchical ViT
- Jiarong Ye
- , Shivam Kalra
- & Mohammad Saleh Miri
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| Open AccessUnsupervised analysis of whole transcriptome data from human pluripotent stem cells cardiac differentiation
- Sofia P. Agostinho
- , Mariana A. Branco
- & Carlos A. V. Rodrigues
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| Open AccessAnalytical performance validation of aPROMISE platform for prostate tumor burden, index and dominant tumor assessment with 18F-DCFPyL PET/CT. A pilot study
- Ana María García Vicente
- , Cristina Lucas Lucas
- & Ángel María Soriano Castrejón
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| Open AccessMultimodal machine learning for modeling infant head circumference, mothers’ milk composition, and their shared environment
- Martin Becker
- , Kelsey Fehr
- & Meghan B. Azad
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| Open AccessAI models for automated segmentation of engineered polycystic kidney tubules
- Simone Monaco
- , Nicole Bussola
- & Daniele Apiletti
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| Open AccessDevelopment and validation of a cuproptosis-related prognostic model for acute myeloid leukemia patients using machine learning with stacking
- Xichao Wang
- , Hao Sun
- & Suning Chen
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| Open AccessResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness
- Yuanpeng Bu
- , Jinxuan Hu
- & Yaming Gong
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| Open AccessArtificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer
- Ramiz Demir
- , Soner Koc
- & Devrim Gozuacik
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| Open AccessEdge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus
- Yujie Yan
- , Christopher Kehayias
- & Raymond H. Mak
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| Open AccessMachine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters
- Amir Reza Naderi Yaghouti
- , Hamed Zamanian
- & Ahmad Shalbaf
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| Open AccessMachine learning to identify chronic cough from administrative claims data
- Vishal Bali
- , Vladimir Turzhitsky
- & Raja H. Patel
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| Open AccessAssessing the feasibility of applying machine learning to diagnosing non-effusive feline infectious peritonitis
- Dawn Dunbar
- , Simon A. Babayan
- & William Weir
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| Open AccessSurvival prediction of glioblastoma patients using modern deep learning and machine learning techniques
- Samin Babaei Rikan
- , Amir Sorayaie Azar
- & Uffe Kock Wiil
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| Open AccessOptimized network based natural language processing approach to reveal disease comorbidities in COVID-19
- Emre Taylan Duman
- , Gizem Tuna
- & Pinar Pir
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| Open AccessImproving the precision of shock resuscitation by predicting fluid responsiveness with machine learning and arterial blood pressure waveform data
- Chitrabhanu B. Gupta
- , Debraj Basu
- & Jason Y. Adams
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| Open AccessIdentifying top ten predictors of type 2 diabetes through machine learning analysis of UK Biobank data
- Moa Lugner
- , Araz Rawshani
- & Björn Eliasson
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| Open AccessComparison between a deep-learning and a pixel-based approach for the automated quantification of HIV target cells in foreskin tissue
- Zhongtian Shao
- , Lane B. Buchanan
- & Jessica L. Prodger
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| Open AccessRobustness and reproducibility for AI learning in biomedical sciences: RENOIR
- Alessandro Barberis
- , Hugo J. W. L. Aerts
- & Francesca M. Buffa
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| Open AccessEnhancing foveal avascular zone analysis for Alzheimer’s diagnosis with AI segmentation and machine learning using multiple radiomic features
- Je Moon Yoon
- , Chae Yeon Lim
- & Kyungsu Kim
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| Open AccessNon-invasive fractional flow reserve estimation using deep learning on intermediate left anterior descending coronary artery lesion angiography images
- Farhad Arefinia
- , Mehrad Aria
- & Arash Roshanpoor
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| Open AccessHigh dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
- Sayera Dhaubhadel
- , Kumkum Ganguly
- & Benjamin H. McMahon
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| Open AccessUnlocking cardiac motion: assessing software and machine learning for single-cell and cardioid kinematic insights
- Margherita Burattini
- , Francesco Paolo Lo Muzio
- & Michele Miragoli