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- A federated learning architecture for secure and private neuroimaging
analysis
Abstract: Publication date: Available online 1 August 2024Source: PatternsAuthor(s): Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sánchez, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite
- The reanimation of pseudoscience in machine learning and its ethical
repercussions
Abstract: Publication date: Available online 1 August 2024Source: PatternsAuthor(s): Mel Andrews, Andrew Smart, Abeba Birhane
- Exploring the reversal curse and other deductive logical reasoning in BERT
and GPT-based large language models
Abstract: Publication date: Available online 25 July 2024Source: PatternsAuthor(s): Da Wu, Jingye Yang, Kai Wang
- Modularized neural network incorporating physical priors for future
building energy modeling
Abstract: Publication date: Available online 19 July 2024Source: PatternsAuthor(s): Zixin Jiang, Bing Dong
- A privacy-preserving approach for cloud-based protein fold recognition
Abstract: Publication date: Available online 19 July 2024Source: PatternsAuthor(s): Ali Burak Ünal, Nico Pfeifer, Mete Akgün
- EEG spectral attractors identify a geometric core of brain dynamics
Abstract: Publication date: Available online 19 July 2024Source: PatternsAuthor(s): Parham Pourdavood, Michael Jacob
- BIOMERO: A scalable and extensible image analysis framework
Abstract: Publication date: Available online 18 July 2024Source: PatternsAuthor(s): Torec T. Luik, Rodrigo Rosas-Bertolini, Eric A.J. Reits, Ron A. Hoebe, Przemek M. Krawczyk
- Privacy preservation for federated learning in health care
Abstract: Publication date: 12 July 2024Source: Patterns, Volume 5, Issue 7Author(s): Sarthak Pati, Sourav Kumar, Amokh Varma, Brandon Edwards, Charles Lu, Liangqiong Qu, Justin J. Wang, Anantharaman Lakshminarayanan, Shih-han Wang, Micah J. Sheller, Ken Chang, Praveer Singh, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Spyridon Bakas
- Federated learning as a catalyst for digital healthcare innovations
Abstract: Publication date: 12 July 2024Source: Patterns, Volume 5, Issue 7Author(s): Guang Yang, Brandon Edwards, Spyridon Bakas, Qi Dou, Daguang Xu, Xiaoxiao Li, Wanying Wang
- CellContrast: Reconstructing spatial relationships in single-cell RNA
sequencing data via deep contrastive learning
Abstract: Publication date: Available online 9 July 2024Source: PatternsAuthor(s): Shumin Li, Jiajun Ma, Tianyi Zhao, Yuran Jia, Bo Liu, Ruibang Luo, Yuanhua Huang
- Reliable imputation of spatial transcriptomes with uncertainty estimation
and spatial regularization
Abstract: Publication date: Available online 9 July 2024Source: PatternsAuthor(s): Chen Qiao, Yuanhua Huang
- Why brain organoids are not conscious yet
Abstract: Publication date: Available online 24 June 2024Source: PatternsAuthor(s): Kenneth S. Kosik
- A hierarchically annotated dataset drives tangled filament recognition in
digital neuron reconstruction
Abstract: Publication date: Available online 21 June 2024Source: PatternsAuthor(s): Wu Chen, Mingwei Liao, Shengda Bao, Sile An, Wenwei Li, Xin Liu, Ganghua Huang, Hui Gong, Qingming Luo, Chi Xiao, Anan Li
- Recent methodological advances in federated learning for healthcare
Abstract: Publication date: 14 June 2024Source: Patterns, Volume 5, Issue 6Author(s): Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D’Alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter
- Explainability pitfalls: Beyond dark patterns in explainable AI
Abstract: Publication date: 14 June 2024Source: Patterns, Volume 5, Issue 6Author(s): Upol Ehsan, Mark O. Riedl
- psHarmonize: Facilitating reproducible large-scale pre-statistical data
harmonization and documentation in R
Abstract: Publication date: Available online 14 June 2024Source: PatternsAuthor(s): John J. Stephen, Padraig Carolan, Amy E. Krefman, Sanaz Sedaghat, Maxwell Mansolf, Norrina B. Allen, Denise M. Scholtens
- The receiver operating characteristic curve accurately assesses imbalanced
datasets
Abstract: Publication date: Available online 31 May 2024Source: PatternsAuthor(s): Eve Richardson, Raphael Trevizani, Jason A. Greenbaum, Hannah Carter, Morten Nielsen, Bjoern Peters
- ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion
segmentation with multi-scale channel and spatial attentions
Abstract: Publication date: Available online 15 May 2024Source: PatternsAuthor(s): Dimitrios I. Zaridis, Eugenia Mylona, Nikos Tsiknakis, Nikolaos S. Tachos, George K. Matsopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis
- Federated learning for privacy-preserving depression detection with
multilingual language models in social media posts
Abstract: Publication date: Available online 13 May 2024Source: PatternsAuthor(s): Samar Samir Khalil, Noha S. Tawfik, Marco Spruit
- MetaGate: Interactive analysis of high-dimensional cytometry data with
metadata integration
Abstract: Publication date: Available online 13 May 2024Source: PatternsAuthor(s): Eivind Heggernes Ask, Astrid Tschan-Plessl, Hanna Julie Hoel, Arne Kolstad, Harald Holte, Karl-Johan Malmberg
- Reducing overconfident errors in molecular property classification using
Posterior Network
Abstract: Publication date: Available online 8 May 2024Source: PatternsAuthor(s): Zhehuan Fan, Jie Yu, Xiang Zhang, Yijie Chen, Shihui Sun, Yuanyuan Zhang, Mingan Chen, Fu Xiao, Wenyong Wu, Xutong Li, Mingyue Zheng, Xiaomin Luo, Dingyan Wang
- Active sensing with predictive coding and uncertainty minimization
Abstract: Publication date: Available online 3 May 2024Source: PatternsAuthor(s): Abdelrahman Sharafeldin, Nabil Imam, Hannah Choi
- A generalized AI system for human embryo selection covering the entire IVF
cycle via multi-modal contrastive learning
Abstract: Publication date: Available online 2 May 2024Source: PatternsAuthor(s): Guangyu Wang, Kai Wang, Yuanxu Gao, Longbin Chen, Tianrun Gao, Yuanlin Ma, Zeyu Jiang, Guoxing Yang, Fajin Feng, Shuoping Zhang, Yifan Gu, Guangdong Liu, Lei Chen, Li-Shuang Ma, Ye Sang, Yanwen Xu, Ge Lin, Xiaohong Liu
- Cortical similarities in psychiatric and mood disorders identified in
federated VBM analysis via COINSTAC
Abstract: Publication date: Available online 2 May 2024Source: PatternsAuthor(s): Kelly Rootes-Murdy, Sandeep Panta, Ross Kelly, Javier Romero, Yann Quidé, Murray J. Cairns, Carmel Loughland, Vaughan J. Carr, Stanley V. Catts, Assen Jablensky, Melissa J. Green, Frans Henskens, Dylan Kiltschewskij, Patricia T. Michie, Bryan Mowry, Christos Pantelis, Paul E. Rasser, William R. Reay, Ulrich Schall, Rodney J. Scott
- CURE: A deep learning framework pre-trained on large-scale patient data
for treatment effect estimation
Abstract: Publication date: Available online 1 May 2024Source: PatternsAuthor(s): Ruoqi Liu, Pin-Yu Chen, Ping Zhang
- PYPE: A pipeline for phenome-wide association and Mendelian randomization
in investigator-driven biobank scale analysis
Abstract: Publication date: Available online 1 May 2024Source: PatternsAuthor(s): Taykhoom Dalal, Chirag J. Patel
- Early warning of atrial fibrillation using deep learning
Abstract: Publication date: Available online 18 April 2024Source: PatternsAuthor(s): Marino Gavidia, Hongling Zhu, Arthur N. Montanari, Jesús Fuentes, Cheng Cheng, Sergio Dubner, Martin Chames, Pierre Maison-Blanche, Md Moklesur Rahman, Roberto Sassi, Fabio Badilini, Yinuo Jiang, Shengjun Zhang, Hai-Tao Zhang, Hao Du, Basi Teng, Ye Yuan, Guohua Wan, Zhouping Tang, Xin He
- The landscape of biomedical research
Abstract: Publication date: Available online 9 April 2024Source: PatternsAuthor(s): Rita González-Márquez, Luca Schmidt, Benjamin M. Schmidt, Philipp Berens, Dmitry Kobak
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