Search Results - "Codella NCF"

Addressing catastrophic forgetting in class-incremental learning—a survey.

Authors: Bako, John Kalita, Jugal

Source: Artificial Intelligence Review; Aug2026, Vol. 59 Issue 8, p1-84, 84p

Evaluating the robustness and readiness of large frontier models in health AI applications.

Authors: Gu Y Fu J Liu X et al.

Source: Nature medicine [Nat Med] 2026 Jun 26. Date of Electronic Publication: 2026 Jun 26.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE

Benchmarks and methods for 3D medical image retrieval.

Authors: Ben Abacha A Santamaría-Pang A Lee HH et al.

Source: Scientific reports [Sci Rep] 2026 Apr 06; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 06.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification.

Authors: Li X Merkow J Codella NCF et al.

Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec 02. Date of Electronic Publication: 2025 Dec 02.

Publication Type: Journal Article

Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Lipid droplet distribution quantification method based on lipid droplet detection by constrained reinforcement learning.

Authors: Harada, Yoshitomi Nishida, Haruto Matsuura, Keiko

Source: PLoS ONE. 9/25/2025, Vol. 20 Issue 9, p1-14. 14p.

AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework.

Authors: Iqbal, Saeed Qureshi, Adnan N. Aurangzeb, Khursheed et al.

Source: Neural Computing & Applications; Sep2025, Vol. 37 Issue 25, p20451-20479, 29p

Automated triage of cancer-suspicious skin lesions with 3D total-body photography.

Authors: Kurtansky NR Gillis MC Codella NCF et al.

Source: NPJ digital medicine [NPJ Digit Med] 2025 Nov 21; Vol. 8 (1), pp. 708. Date of Electronic Publication: 2025 Nov 21.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE

Application of ensemble learning models in computer-aided diagnosis of skin diseases.

Authors: Asaduzzaman, Abu Thompson, Christian C. Sibai, Fadi N. et al.

Source: Neural Computing & Applications; Jul2025, Vol. 37 Issue 21, p16735-16751, 17p

Recent metaheuristic algorithms for medical object localization using MSER detector in computer-aided diagnosis system.

Authors: Ait Mehdi, Mohamed Belattar, Khadidja Souami, Feryel

Source: Multimedia Tools & Applications; May2025, Vol. 84 Issue 15, p14433-14487, 55p

Masked hybrid attention with Laplacian query fusion and tripartite sequence matching for medical image segmentation.

Authors: Ekong, Favour Yu, Yongbin Patamia, Rutherford Agbeshi et al.

Source: Neural Computing & Applications; Mar2025, Vol. 37 Issue 8, p5891-5911, 21p

A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications.

Authors: Pedro, Alma Romero, Pamela Vidaurre, Soledad et al.

Source: BMC Medical Research Methodology. 11/5/2025, Vol. 25 Issue 1, p1-14. 14p.

MEL-IA: An Interoperable AI System for Multimodal Skin Lesion Classification in Hospital Settings.

Authors: Córcoles PC De Ramón Fernández A Calvo MS et al.

Source: Journal of medical systems [J Med Syst] 2026 Jun 12; Vol. 50 (1). Date of Electronic Publication: 2026 Jun 12.

Publication Type: Journal Article

Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

Skin cancer classification using machine learning.

Authors: Bogne Tchema, Rodrigue Polycarpou, Anastasis C. Nestoros, Marios

Source: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 6, p3239-3256, 18p

TsCANet: Three-stream contrastive adaptive network for cross-domain few-shot learning.

Authors: Bi, Yuandong Zhu, Hong Shi, Jing et al.

Source: Journal of Supercomputing; Jan2025, Vol. 81 Issue 1, p1-23, 23p

Gen-CNN: a framework for the automatic generation of CNNs for image classification.

Authors: García-Aguirre, Rogelio Navarro-López, Eva María Torres-Treviño, Luis

Source: Neural Computing & Applications; Jan2025, Vol. 37 Issue 1, p149-168, 20p

ST-LP: self-training and label propagation for semi-supervised classification.

Authors: Lin, Chih-Wen Chiang, Chen-Kuo Wang, Yu-An et al.

Source: Multimedia Tools & Applications; Dec2024, Vol. 83 Issue 41, p89335-89353, 19p

Deep Learning Models for Skin Cancer Classification Across Diverse Color Spaces: Comprehensive Analysis: Deep Learning Models for Skin Cancer...: A. Paul et al.

Authors: Paul, Anisha Ali, Asfak Chaudhuri, Sheli Sinha

Source: Archives of Computational Methods in Engineering; Dec2024, Vol. 31 Issue 8, p4455-4483, 29p

ACGAN: adaptive conditional generative adversarial network architecture predicting skin lesion using collaboration of transfer learning models.

Authors: Gomathi, R. Gnanavel, S. Narayana, K.E. et al.

Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications; Dec2024, Vol. 65 Issue 4, p1458-1468, 11p

Layer-selective deep representation to improve esophageal cancer classification.

Authors: Souza Jr., Luis A. Passos, Leandro A. Santana, Marcos Cleison S. et al.

Source: Medical & Biological Engineering & Computing; Nov2024, Vol. 62 Issue 11, p3355-3372, 18p

Privacy-preserving collaborative AI for distributed deep learning with cross-sectional data.

Authors: Iqbal, Saeed Qureshi, Adnan N. Alhussein, Musaed et al.

Source: Multimedia Tools & Applications; Oct2024, Vol. 83 Issue 33, p80051-80073, 23p