CrushSCI.com
57.4Average days
64Median days
29Fastest days
76Longest days
2192025 publications

Paper Review Records

All Paper Review Records

5 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

76 days

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

Authors
Andrey Fedorov; William J. R. Longabaugh; David Pot; David A. Clunie; Steven D. Pieper; David L. Gibbs; Christopher Bridge; Markus D. Herrmann; André Homeyer; Rob Lewis; Hugo J. W. L. Aerts; Deepa Krishnaswamy; Vamsi Krishna Thiriveedhi; Cosmin Ciausu; Daniela P. Schacherer; Dennis Bontempi; Todd Pihl; Ulrike Wagner; Keyvan Farahani; Erika Kim; Ron KikinisShow moreShow less
Affiliations
1. From the Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, 399 Revolution Dr, Somerville, MA 02145 (A.F., D.K., V.K.T., C.C., R.K.); Institute for Systems Biology, Seattle, Wash (W.J.R.L., D.L.G.); General Dynamics Information Technology, Rockville, Md (D.P.); PixelMed Publishing, Bangor, Pa (D.A.C.); Isomics, Cambridge, Mass (S.D.P.); Departments of Radiology (C.B.) and Pathology (M.D.H.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass; Fraunhofer MEVIS, Bremen, Germany (A.H., D.P.S.); Radical Imaging, Boston, Mass (R.L.); Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (H.J.W.L.A., D.B.); Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A., D.B.); Frederick National Laboratory for Cancer Research, Rockville, Md (T.P., U.W.); and National Cancer Institute, Bethesda, Md (K.F., E.K.).Show moreShow less
Official full-text evidence DOI Publisher page
52 days

Axillary Lymphadenopathy in the COVID-19 Era: What the Radiologist Needs to Know

Authors
Meng Zhang; Richard W. Ahn; Jody C. Hayes; Stephen J. Seiler; Ann R. Mootz; Jessica H. PorembkaShow moreShow less
Affiliations
1. From the Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, MC 8896, Dallas, TX 75390-8896.Show moreShow less
Official full-text evidence DOI Publisher page
66 days

Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations

Authors
Margarita V. Revzin; Sarah Raza; Neil C. Srivastava; Robin Warshawsky; Catherine D’Agostino; Ajay Malhotra; Anna S. Bader; Ritesh D. Patel; Kan Chen; Christopher Kyriakakos; John S. PelleritoShow moreShow less
Affiliations
1. From the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).Show moreShow less
Official full-text evidence DOI Publisher page
64 days

Chest CT in COVID-19: What the Radiologist Needs to Know

Authors
Thomas C. Kwee; Robert M. KweeShow moreShow less
Affiliations
1. From the Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB, Groningen, the Netherlands (T.C.K.); and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard-Geleen, the Netherlands (R.M.K.).Show moreShow less
Official full-text evidence DOI Publisher page
29 days

RadioGraphics Update: Venous Thrombosis and Hypercoagulability in the Abdomen and Pelvis—Findings in COVID-19

Authors
Michael C. Olson; Meghan G. Lubner; Christine O. Menias; Vincent M. Mellnick; Lori Mankowski Gettle; David H. Kim; Khaled M. Elsayes; Perry J. PickhardtShow moreShow less
Affiliations
1. From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Sciences Center, 600 Highland Ave, Madison, WI 53792 (M.C.O., M.G.L., L.M.G., D.H.K., P.J.P.); Department of Radiology, Mayo Clinic Scottsdale, Scottsdale, Ariz (C.O.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.M.); and Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.).Show moreShow less
Official full-text evidence DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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