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Publication search results
found 186 matches
- 2025
- Wen Xiao, Jinxia Shang
, Fan Li
, Ou Ao, Xin Wang, Shiyi Tian:
Research on Citrus Leaf Disease Recognition Using Class-Agnostic Contrastive Learning and Supervised Organizational Mapping. IEEE Access 13: 101592-101608 (2025) - Radhagayathri K. Udhayakumar
, Shivapratap Gopakumar, Saifur Rahman, Chandan K. Karmakar:
Nonlinear feature space mapping of gait dynamics for neurodegenerative disease detection. Biomed. Signal Process. Control. 107: 107800 (2025) - Istiaq Ahmed
, Stephen Woodward, Gareth J. Norton
:
Genome-wide association mapping of bakanae disease resistance in rice. Comput. Biol. Chem. 119: 108538 (2025) - Zeytu Gashaw Asfaw, Patrick E. Brown, Jamie Stafford:
The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data. Comput. Stat. 40(3): 1171-1184 (2025) - Zhongwei Huang
, Jianqiang Li
, Jiatao Yang
, Jun Wan, Jianxia Chen, Zhi Yang, Ming Shi, Ran Zhou
, Haitao Gan
:
Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease. Eng. Appl. Artif. Intell. 146: 110342 (2025) - Jianmei Qin, Haoting Wu, Chenqing Wu, Tao Guo, Cheng Zhou, Xiaojie Duanmu, Sijia Tan, Jiaqi Wen, Qianshi Zheng, Weijin Yuan, Zihao Zhu, Jingwen Chen, Jingjing Wu, Chenyu He, Yiran Ma, Chunlei Liu, Xiaojun Xu, Xiaojun Guan, Minming Zhang:
Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson's disease diagnosis. NeuroImage 314: 121256 (2025) - Vinícius Lima, Filipe Andrade Bernardi, Rui Rijo, Alberto Freitas, Têmis Maria Félix, Ida Schwartz, Adulai Rodrigues, Tomas Sanjuluca, Olímpio Zavale, Luis Madeira, Júlio Souza, Domingos Alves:
Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation. CBMS 2025: 747-750 - Soumik Chemudupati:
MindMap: ML-Based Mapping of the Progression of Alzheimer's Disease Using Human Expression as a Behavioral Biomarker. CBMS 2025: 506-507 - Jhonathan Navott, Daniel Jenson, Seth R. Flaxman, Elizaveta Semenova:
DeepRV: pre-trained spatial priors for accelerated disease mapping. CoRR abs/2503.21473 (2025) - 2024
- Mohammed Kemal Ahmed, Durga Prasad Sharma, Hussein Seid Worku
, Getinet Yilma, Achim Ibenthal, Dharmveer Yadav:
Livestock Disease Data Management for E-Surveillance and Disease Mapping Using Cluster Analysis. Adv. Artif. Intell. Mach. Learn. 4(1): 1991-2013 (2024) - Kaushik Sekaran
, Awari Harshavardhan
, N. Sandhya
, C. Sudha, Gujjeti Nagaraju
, Hanumanthu Bhukya
, Rashmi Sahay
, J. Kalaivani
:
A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson's Disease Classification. IEEE Access 12: 83140-83153 (2024) - Runzhou Wang
, Xinsheng Zhang
, Minghu Wang:
A two-layer model with partial mapping: Unveiling the interplay between information dissemination and disease diffusion. Appl. Math. Comput. 468: 128507 (2024) - Elif Düz
, Tunahan Çakir:
Effect of RNA-Seq data normalization on protein interactome mapping for Alzheimer's disease. Comput. Biol. Chem. 109: 108028 (2024) - Gustavo Adolfo Barraza
, Ana Carla Castro-Guijarro
, Valentina de la Fuente Hoffmann, Santiago Junior Bolívar Ávila
, Marina Inés Flamini, Angel Matias Sanchez:
Drug repositioning for rosacea disease: Biological TARGET identification, molecular docking, pharmacophore mapping, and molecular dynamics analysis. Comput. Biol. Medicine 181: 108988 (2024) - Dahua Xu
, Chunrui Zhang
, Xiaoman Bi
, Jiankai Xu, Shengnan Guo, Peihu Li, Yutong Shen, Jiale Cai, Nihui Zhang, Guanghui Tian, Haifei Zhang, Hong Wang, Qifu Li, Hongyan Jiang, Bo Wang, Xia Li, Yongsheng Li, Kongning Li
:
Mapping enhancer and chromatin accessibility landscapes charts the regulatory network of Alzheimer's disease. Comput. Biol. Medicine 168: 107802 (2024) - Savanna Denega Machado, João Elison da Rosa Tavares, Jorge Luis Victória Barbosa
:
Technologies for monitoring patients with Alzheimer's disease: A systematic mapping study and taxonomy. J. Ambient Intell. Smart Environ. 16(1): 3-22 (2024) - Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz, Licong Cui
:
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. BMC Medical Informatics Decis. Mak. 24(3): 103 (2024) - Haojie Chen
, Aocai Yang
, Weijie Huang, Lei Du, Bing Liu, Kuan Lv, Jixin Luan, Pianpian Hu, Amir Shmuel, Ni Shu, Guolin Ma:
Associations of quantitative susceptibility mapping with cortical atrophy and brain connectome in Alzheimer's disease: A multi-parametric study. NeuroImage 290: 120555 (2024) - Xiaojun Guan, Marta Lancione
, Scott Ayton
, Petr Dusek, Christian Langkammer, Minming Zhang
:
Neuroimaging of Parkinson's disease by quantitative susceptibility mapping. NeuroImage 289: 120547 (2024) - Weizhao Lu, Tianbin Song, Zhenxiang Zang, Jiping Li, Yuqing Zhang, Jie Lu
:
Relaxometry network based on MRI R2⁎ mapping revealing brain iron accumulation patterns in Parkinson's disease. NeuroImage 303: 120943 (2024) - Yawen Sun, Wentao Hu
, Ying Hu, Yage Qiu, Yuewei Chen, Qun Xu, Hongjiang Wei, Yongming Dai, Yan Zhou:
Exploring cognitive related microstructural alterations in normal appearing white matter and deep grey matter for small vessel disease: A quantitative susceptibility mapping study. NeuroImage 298: 120790 (2024) - Yilan Liao
, Yuanhao Shi, Zhirui Fan, Zhiyu Zhu, Binghu Huang, Wei Du
, Jinfeng Wang, Liping Wang:
A new disease mapping method for improving data completeness of syndromic surveillance with high missing rates. Trans. GIS 28(6): 1869-1882 (2024) - Lina Takemaru, Shu Yang
, Ruiming Wu, Bing He, Christos Davtzikos, Jingwen Yan, Li Shen:
Mapping Alzheimer's Disease Pseudo-Progression With Multimodal Biomarker Trajectory Embeddings. ISBI 2024: 1-5 - Christian Tinauer
, Anna Damulina
, Maximilian Sackl
, Martin Soellradl
, Reduan Achtibat
, Maximilian Dreyer
, Frederik Pahde
, Sebastian Lapuschkin
, Reinhold Schmidt
, Stefan Ropele
, Wojciech Samek
, Christian Langkammer
:
Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification. xAI (2) 2024: 202-216 - Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer:
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification. CoRR abs/2404.10433 (2024) - 2023
- Fatma Akalin:
Sayısal haritalama teknikleri kullanılarak DNA dizilimleri üzerinden lösemi hastalığının temel türlerinin yapay zeka tabanlı algoritmalar ile sınıflandırılması (Classification of main types of leukemia disease with artificial intelligence-based algorithms on the DNA sequences using digital mapping techniques). Sakarya University, Turkey, 2023 - Lucas Pfeiffer Salomão Dias
, Henrique Damasceno Vianna
, Jorge Luis Victória Barbosa
:
Human behaviour data analysis and noncommunicable diseases: a systematic mapping study. Behav. Inf. Technol. 42(14): 2485-2503 (2023) - Muhammad Saeed, Muhammad Ahsan, Muhammad Haris Saeed, Atiqe Ur Rahman
, Mazin Abed Mohammed
, Jan Nedoma
, Radek Martinek:
An algebraic modeling for tuberculosis disease prognosis and proposed potential treatment methods using fuzzy hypersoft mappings. Biomed. Signal Process. Control. 80(Part): 104267 (2023) - Erick Orozco-Acosta
, Aritz Adin, María Dolores Ugarte:
Big problems in spatio-temporal disease mapping: Methods and software. Comput. Methods Programs Biomed. 231: 107403 (2023) - Xi Chen, Yuan Wang
, Antonio Cappuccio, Wan-Sze Cheng, Frederique Ruf Zamojski
, Venugopalan D. Nair
, Clare M. Miller
, Aliza B. Rubenstein, German Nudelman, Alicja Tadych, Chandra L. Theesfeld, Alexandria Vornholt, Mary-Catherine George, Felicia Ruffin
, Michael Dagher, Daniel G. Chawla, Alessandra Soares-Schanoski, Rachel R. Spurbeck, Lishomwa C. Ndhlovu, Robert P. Sebra, Steven H. Kleinstein, Andrew G. Letizia, Irene Ramos
, Vance G. Fowler, Christopher W. Woods, Elena Zaslavsky, Olga G. Troyanskaya, Stuart C. Sealfon:
Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data. Nat. Comput. Sci. 3(7): 644-657 (2023)
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