Results 131 to 140 of about 48,274 (263)

Retraction Note: Multimodal deep learning for cephalometric landmark detection and treatment prediction. [PDF]

Sci Rep
Gao F, Tang Y.
europepmc   +1 more source

Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates. [PDF]

J Imaging, 2023
Gdoura A, Degünther M, Lorenz B, Effland A.   +3 more
europepmc   +1 more source

Myelodysplastic Syndromes: 2026 Update on Diagnosis, Risk‐Stratification and Management

American Journal of Hematology, EarlyView.
ABSTRACT Disease Overview The myelodysplastic syndromes (MDS) are a heterogeneous group of myeloid disorders characterized by peripheral blood cytopenias and increased risk of transformation to acute myelogenous leukemia (AML). MDS occurs more frequently in older males and in individuals with prior exposure to cytotoxic therapy.
Guillermo Garcia‐Manero
wiley   +1 more source

Clinical Equivalence of a CNN-Based Automated Soft Tissue Landmark Detection System on 2D Facial Images. [PDF]

Diagnostics (Basel)
Türkün AE, Kalender ME, Kurt M, Doğan S.   +3 more
europepmc   +1 more source

Feature Aggregation and Refinement Network for 2D Anatomical Landmark Detection. [PDF]

J Digit Imaging, 2023
Ao Y, Wu H.
europepmc   +1 more source

Eltrombopag Added to Standard Immunosuppressive Treatment as Front‐Line Therapy for Severe Aplastic Anemia: Long‐Term Outcomes of the Phase‐3 Randomized Superiority EBMT‐SAAWP RACE Study

American Journal of Hematology, EarlyView.
ABSTRACT The RACE study (NCT02009747) compared horse antithymocyte globulin (hATG) plus cyclosporine A (CsA) ± eltrombopag as initial immunosuppressive treatment (IST) for severe aplastic anemia. Here we report the final 2‐year analysis of this prospective randomized phase III study.
Antonio M. Risitano, Simona Iacobelli, Austin Kulasekararaj, Marleen van Os, Sofie R. Terwel, Joe Tuffnell, Brian Piepenbroek, Morag Griffin, Constantijn J. M. Halkes, Christian Recher, Fiorenza Barraco, Edouard Forcade, Juan Carlos Vallejo, Beatrice Drexler, Jean‐Baptiste Mear, Roochi Trikha, Shreyans Gandhi, Anna Maria Raiola, L. G. M. Daenen, Marco R. de Groot, Etienne Daguindau, Erfan Nur, Wilma Barcellini, Nigel H. Russell, Louis Terriou, Anna Paola Iori, Walter Barberi, Anna Sureda, Isabel Sánchez‐Ortega, Blanca Xicoy, Isidro Jarque, James Cavenagh, Flore Sicre de Fontbrune, Camilla Frieri, Talha Munir, Jennifer M. L. Tjon, Suzanne Tavitian, Aline Praire, Laurence Clement, Florence Rabian, Luana Marano, Anita Hill, Elena Palmisani, Petra Muus, Serena Marotta, Fabiana Cacace, Marica Laurino, Jakob R. Passweg, Gérard Socié, Ghulam J. Mufti, Carlo Dufour, Régis Peffault de Latour, Severe Aplastic Anaemia Working Party of the EBMT   +52 more
wiley   +1 more source

Towards fully automated inner ear analysis with deep-learning-based joint segmentation and landmark detection framework. [PDF]

Sci Rep, 2023
Stebani J, Blaimer M, Zabler S, Neun T, Pelt DM, Rak K.   +5 more
europepmc   +1 more source

Lymphatic Abnormalities in Noonan Syndrome Extend Beyond Clinically Apparent Disease

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Lymphatic disease represents a well‐described manifestation of Noonan syndrome (NS), yet the full phenotypic spectrum remains incompletely characterized, especially in asymptomatic individuals. We conducted a cross‐sectional study including 10 individuals with NS (four with peripheral lymphedema and six without) and 10 age‐ and sex‐matched ...
Inger Norlyk Sheyanth, Benjamin Kelly, Sheyanth Mohanakumar, Steffen Ringgaard, Yoav Dori, Irene Kibæk Nielsen, Uffe Birk Jensen, Vibeke Elisabeth Hjortdal   +7 more
wiley   +1 more source

Reproducibility of AI in Cephalometric Landmark Detection: A Preliminary Study. [PDF]

Diagnostics (Basel)
Fracchia DE, Bignotti D, Lai S, Cubeddu S, Curreli F, Lombardo M, Verdecchia A, Spinas E.   +7 more
europepmc   +1 more source

Assessment of landmark detection in cephalometric radiographs with different conditions of brightness and contrast using the an artificial intelligence software. [PDF]

Dentomaxillofac Radiol, 2023
Menezes LDS, Silva TP, Lima Dos Santos MA, Hughes MM, Mariano Souza SDR, Leite Ribeiro PM, Freitas PHL, Takeshita WM.   +7 more
europepmc   +1 more source