Results 31 to 40 of about 295,552 (260)

Roentgen Interpretation

Southern Medical Journal, 1921
Includes bibliographies. ; Mode of access: Internet.
Holmes, George Winslow, 1876-, Ruggles, Howard Edwin, 1886-1939.   +1 more
openaire   +1 more source

Parent Quality of Life at Two Years Following Their Child's Completion of Acute Lymphoblastic Leukemia Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra, Maria McCarthy, Michael Takagi, Cinzia De Luca   +3 more
wiley   +1 more source

Kolmogorov–Arnold Networks for System Identification of First- and Second-Order Dynamic Systems

Engineering Proceedings
System identification—originating in the 1950s from statistical theory—has since developed a wealth of algorithms, insights, and practical expertise.
Lily Chiparova, Vasil Popov
doaj   +1 more source

Interpreting Deep Visual Representations via Network Dissection

, 2018
The success of recent deep convolutional neural networks (CNNs) depends on learning hidden representations that can summarize the important factors of variation behind the data.
Bau, David, Oliva, Aude, Torralba, Antonio, Zhou, Bolei   +3 more
core   +1 more source

Interpreting (un)interpretability [PDF]

Theoretical Linguistics, 2019
published
Walkden, George, Breitbarth, Anne
openaire   +2 more sources

Incidence and Risk Factors of Serious Osteonecrosis in Pediatric Acute Lymphoblastic Leukemia: A CYP‐C Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteonecrosis (ON) is a debilitating complication of acute lymphoblastic leukemia (ALL) therapy. While numerous studies have explored its incidence and associated risk factors, investigations using large‐scale cohorts remain important to characterize ON across heterogeneous populations.
Noémie de Villiers, Chantal Éthier, Caroline Laverdière, Nathalie Alos, Thai Hoa Tran, Marie‐Claude Pelland‐Marcotte   +5 more
wiley   +1 more source

Eye Tracking-Enhanced Deep Learning for Medical Image Analysis: A Systematic Review on Data Efficiency, Interpretability, and Multimodal Integration

Bioengineering
Deep learning (DL) has revolutionized medical image analysis (MIA), enabling early anomaly detection, precise lesion segmentation, and automated disease classification.
Jiangxia Duan, Meiwei Zhang, Minghui Song, Xiaopan Xu, Hongbing Lu   +4 more
doaj   +1 more source

Outcomes and Surgical Management of Malignant Rhabdoid Tumor of the Kidney: A Report From the Pediatric Surgical Oncology Research Collaborative

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt, Elisabeth T. Tracy, Anghela Paredes, Catherine Beckhorn, Harold J. Leraas, Joseph Fusco, Katlyn G. McKay, Nelly‐Ange T. Kontchou, Zachary J. Kastenberg, David W. Hoyt, Jonathan Roach, Emily K. Myers, Nicholas G. Cost, Bhargava Mullapudi, Charles R. Marchese, Amanda R. Jensen, Timothy B. Lautz, Michela Carter, Roshni Dasgupta, John Lundstedt, Joseph G. Brungardt, Lindsay Talbot, Andrew M. Davidoff, Andrew J. Murphy, Jennifer H. Aldrink, Sara Mansfield, Nelson Piche, Annie Le‐Nguyen, Dave R. Lal, Brian T. Craig, Jennifer M. Schuh, Barrett P. Cromeens, Sindhu Mannava, Shannon Castle, Adriana Lopez, Kelsey Mello, Joshua Short, Robin T. Petroze, Shay Rajaval, Grace R. Thompson, Peter Mattei, David H. Rothstein, Elizabeth Fialkowski, Kathryn Fowler, Nathan Martchenke, Barrie S. Rich, Richard D. Glick, Erin G. Brown, Kathleen Doyle, Paige Abril, Natashia Seemann, Jacob Davidson, Claire A. Wilson, Hau D. Le, Devashish Joshi, Michael Stellon, Tamer Ahmed, Alexandra Dimmer, Peter F. Ehrlich, Maya Hammoud, Keyonna Williams, Christa N. Grant, Merit Gorgy, Stephanie F. Polites, Julia Debertin, Danielle B. Cameron, Alyssa Stetson, Eugene S. Kim, William G. Lee, Aaron Barkhordar, Mary Austin, Brian A. Coakley, Anastasia Kahan, Joseph T. Murphy, Michael Pitonak, Chloé Boehmer, Marcus M. Malek   +76 more
wiley   +1 more source

Investigating the Performance of the Attention Mechanism and the Interpretability in the Concrete Strength Prediction Model

Buildings
To address the limitations of traditional models in capturing complex features for concrete strength prediction, this study proposes a hybrid deep learning approach that integrates multiple attention mechanisms with gated recurrent units (GRU).
Ziang Jia, Noor Azline Mohd Nasir, Nabilah Abu Bakar   +2 more
doaj   +1 more source

Explainable Machine Learning for Scientific Insights and Discoveries

IEEE Access, 2020
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively recent development is the uptake of machine learning in the natural sciences ...
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke   +3 more
doaj   +1 more source