Results 81 to 90 of about 356,686 (298)

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Anomaly detection via Gumbel Noise Score Matching

Frontiers in Artificial Intelligence
We propose Gumbel Noise Score Matching (GNSM), a novel unsupervised method to detect anomalies in categorical data. GNSM accomplishes this by estimating the scores, i.e., the gradients of log likelihoods w.r.t. inputs, of continuously relaxed categorical
Ahsan Mahmood, Junier Oliva, Martin Andreas Styner   +2 more
doaj   +1 more source

Alzheimer's Disease Biomarkers Measured by Capillary Blood Collection Versus Venous Plasma and Cerebrospinal Fluid

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho, Ziling Shen, Alexandria Lewis, Megha Patel, Anny Zheng, Gianna Proscino, Thaovy Ho, Jiangxia Wang, Marilyn Albert, Abhay Moghekar   +9 more
wiley   +1 more source

Investigating the Effectiveness of Supervised and Unsupervised Classification for Landsat Images Utilizing Classification Accuracy Assessment. [PDF]

Kirkuk Journal of Science
This study filled in gaps in 2012 Landsat-7 satellite images using the "Nearest Similar Pixel Processor" algorithm.  Changes in LU/LC coverage in Babil province were classified and tracked during the period from 1999 to 2023. Landsat-7 and Landsat-8
Hayder Jassoom, Rabab Abdoon
doaj   +1 more source

Unsupervised learning of shape manifolds [PDF]

, 2007
Classical shape analysis methods use principal component analysis to reduce the dimensionality of shape spaces. The basic assumption behind these methods is that the subspace corresponding to the major modes of variation for a particular class of shapes ...
Bhalerao, Abhir, Rajpoot, Nasir M. (Nasir Mahmood), A. H. Bhalerao, M. Arif, Arif, Muhammad, N. Rajpoot   +5 more
core   +1 more source

Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea, Patrick Ellsworth, James E. Siegler, James R. Brorson, Christina M. Lineback, Frank G. Conyers, Deborah Kerrigan, Kelsey Eklund, Shadi Yaghi, Farid Khasiyev, Emiliya Melkumova, Collin J. Culbertson, Marissa D'Souza, Dinesh V. Jillella, Patrick Glover, Hassan Aboul‐Nour, Fadi Nahab, Mahan Shahrivari, Simona Nedelcu, David S. Liebeskind, Matthew M. Smith, Aaron Rothstein, Anna Bowman, Alicia Zha, Narendra Kala, Ahmad Abu Qdais, Sami Al Kasab, Mudassir Farooqui, Diana Rojas‐Soto, Yasmin Aziz, Franziska Herpich, Jean‐Philippe Daniel, Sean L. Thompson, Vivek Patel, Thanh N. Nguyen, Siddharth Sehgal, Wenzheng Yu, Wayneho Kam, Russel Van Coevering, Oana M. Dumitrascu, Muhammad Alvi, Balaji Krishnaiah, Setareh Salehi Omran, Guillermo Linares, Eesha Singh, Hamid Ali, Mary Penckofer, Jesse M. Thon, Shani Mannion, Dalia Chahien, Lucia Chen, Fawad Talat, Mehdi Abbasi, Richa Sharma   +53 more
wiley   +1 more source

Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms

Remote Sensing
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting changes in the Earth’s surface, finding wide applications in urban planning, disaster management, and national security.
Lukang Wang, Min Zhang, Xu Gao, Wenzhong Shi   +3 more
doaj   +1 more source

Unsupervised learning of overlapping image components using divisive input modulation [PDF]

, 2009
This paper demonstrates that nonnegative matrix factorisation is mathematically related to a class of neural networks that employ negative feedback as a mechanism of competition. This observation inspires a novel learning algorithm which we call Divisive
De Meyer, Kris, Spratling, Michael, Kompass, R., de Meyer, K., Spratling, M.W., Kompass, R   +5 more
core   +1 more source

Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit, Aime Luna, Bradley Judge, Nicole Shelley, Karl Friedrichsen, Jayashree Rajamanickam, Zhude Tu, Yong Wang, Tammie L. S. Benzinger, Qing Wang, Matthew R. Brier   +10 more
wiley   +1 more source

Unsupervised Optical-Sensor Extrinsic Calibration via Dual-Transformer Alignment

Sensors
Accurate extrinsic calibration between optical sensors, such as camera and LiDAR, is crucial for multimodal perception. Traditional methods based on specific calibration targets exhibit poor robustness in complex optical environments such as glare ...
Yuhao Wang, Yong Zuo, Yi Tang, Xiaobin Hong, Jian Wu, Ziyu Bian   +5 more
doaj   +1 more source