Rachel Mann, Ph.D. - Related publications

2002 The Catholic University of America, Washington, DC 
Clinical Psychology
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50 most relevant papers in past 60 days:
Year Citation  Score
2021 Fan L, Le W, Zou Q, Zhou X, Wang Y, Tang H, Han J, Liu S. Initial CT features of COVID-19 predicting clinical category. Chinese Journal of Academic Radiology. 1-7. PMID 33644690 DOI: 10.1007/s42058-021-00056-4   
2021 Yang S, Zheng X, Ji C, Chen X. Multi-layer Representation Learning and Its Application to Electronic Health Records. Neural Processing Letters. 1-17. PMID 33623481 DOI: 10.1007/s11063-021-10449-2   
2021 Dou Q, So TY, Jiang M, Liu Q, Vardhanabhuti V, Kaissis G, Li Z, Si W, Lee HHC, Yu K, Feng Z, Dong L, Burian E, Jungmann F, Braren R, et al. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. Npj Digital Medicine. 4: 60. PMID 33782526 DOI: 10.1038/s41746-021-00431-6   
2021 Comelli A, Dahiya N, Stefano A, Benfante V, Gentile G, Agnese V, Raffa GM, Pilato M, Yezzi A, Petrucci G, Pasta S. Deep learning approach for the segmentation of aneurysmal ascending aorta. Biomedical Engineering Letters. 11: 15-24. PMID 33747600 DOI: 10.1007/s13534-020-00179-0   
2021 Rasouli MA, Moutos CP, Phelps JY. Liability for embryo mix-ups in fertility practices in the USA. Journal of Assisted Reproduction and Genetics. PMID 33598752 DOI: 10.1007/s10815-021-02108-1   
2021 Salottolo K, Panchal R, Madayag RM, Dhakal L, Rosenberg W, Banton KL, Hamilton D, Bar-Or D. Incorporating age improves the Glasgow Coma Scale score for predicting mortality from traumatic brain injury. Trauma Surgery & Acute Care Open. 6: e000641. PMID 33634212 DOI: 10.1136/tsaco-2020-000641   
2021 Varpio L, Bader-Larsen K, Hamwey M, Durning S, Meyer H, Cruthirds D, Artino A. Delivering patient care during large-scale emergency situations: Lessons from military care providers. Plos One. 16: e0248286. PMID 33788854 DOI: 10.1371/journal.pone.0248286   
2021 Jiang W, Phillips SA, Newbury RO, Naheedy JH, Newfield RS. Diagnostic utility of fine needle aspiration cytology in pediatric thyroid nodules based on Bethesda Classification. Journal of Pediatric Endocrinology & Metabolism : Jpem. PMID 33629571 DOI: 10.1515/jpem-2020-0645   
2021 Harmer MJ, Southgate G, Raja M, Alam S. Paediatric trainees' training experiences during the COVID-19 pandemic: a national survey. Archives of Disease in Childhood. Education and Practice Edition. PMID 33637580 DOI: 10.1136/archdischild-2020-321151   
2021 Otaguro T, Tanaka H, Igarashi Y, Tagami T, Masuno T, Yokobori S, Matsumoto H, Ohwada H, Yokota H. Machine learning for the prediction of successful extubation among patients with mechanical ventilation in the intensive care unit: A retrospective observational study. Journal of Nippon Medical School = Nippon Ika Daigaku Zasshi. PMID 33692291 DOI: 10.1272/jnms.JNMS.2021_88-508   
2021 Zahid A, Shafiq W, Nasir KS, Loya A, Abbas Raza S, Sohail S, Azmat U. Malignancy rates in thyroid nodules classified as Bethesda categories III and IV; a subcontinent perspective. Journal of Clinical & Translational Endocrinology. 23: 100250. PMID 33643850 DOI: 10.1016/j.jcte.2021.100250   
2021 Li Z, Li W, Wei Y, Gui G, Zhang R, Liu H, Chen Y, Jiang Y. Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 89: 101882. PMID 33684730 DOI: 10.1016/j.compmedimag.2021.101882   
2021 Karschnia P, Vogelbaum MA, van den Bent M, Cahill DP, Bello L, Narita Y, Berger MS, Weller M, Tonn JC. Evidence-based recommendations on categories for extent of resection in diffuse glioma. European Journal of Cancer (Oxford, England : 1990). 149: 23-33. PMID 33819718 DOI: 10.1016/j.ejca.2021.03.002   
2021 Omar I, Madhok B, Parmar C, Khan O, Wilson M, Mahawar K. Analysis of National Bariatric Surgery Related Clinical Incidents: Lessons Learned and a Proposed Safety Checklist for Bariatric Surgery. Obesity Surgery. PMID 33675021 DOI: 10.1007/s11695-021-05330-z   
2021 Ugga L, Perillo T, Cuocolo R, Stanzione A, Romeo V, Green R, Cantoni V, Brunetti A. Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis. Neuroradiology. PMID 33649882 DOI: 10.1007/s00234-021-02668-0   
2021 Ugga L, Perillo T, Cuocolo R, Stanzione A, Romeo V, Green R, Cantoni V, Brunetti A. Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis. Neuroradiology. PMID 33649882 DOI: 10.1007/s00234-021-02668-0   
2021 Vat LE, Finlay T, Robinson P, Barbareschi G, Boudes M, Diaz Ponce AM, Dinboeck M, Eichmann L, Ferrer E, Fruytier SE, Hey C, Broerse JEW, Schuitmaker-Warnaar TJ. Evaluation of patient engagement in medicine development: A multi-stakeholder framework with metrics. Health Expectations : An International Journal of Public Participation in Health Care and Health Policy. PMID 33629470 DOI: 10.1111/hex.13191   
2021 Yang MZ, Lai RC, Abbas AE, Park BJ, Li JB, Yang J, Wu JC, Wang G, Yang HX. Learning curve of robotic portal lobectomy for pulmonary neoplasms: A prospective observational study. Thoracic Cancer. PMID 33709571 DOI: 10.1111/1759-7714.13927   
2021 Liu Q, Pang B, Li H, Zhang B, Liu Y, Lai L, Le W, Li J, Xia T, Zhang X, Ou C, Ma J, Li S, Guo X, Zhang S, et al. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia. Journal of Thoracic Disease. 13: 1215-1229. PMID 33717594 DOI: 10.21037/jtd-20-2580   
2021 Fan H, Liu P, Xu M, Yang Y. Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection. Ieee Transactions On Cybernetics. PMID 33705334 DOI: 10.1109/TCYB.2021.3054978   
2021 Gutierrez Becker B, Arcadu F, Thalhammer A, Gamez Serna C, Feehan O, Drawnel F, Oh YS, Prunotto M. Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data. Therapeutic Advances in Gastrointestinal Endoscopy. 14: 2631774521990623. PMID 33718871 DOI: 10.1177/2631774521990623   
2021 Fries JA, Steinberg E, Khattar S, Fleming SL, Posada J, Callahan A, Shah NH. Ontology-driven weak supervision for clinical entity classification in electronic health records. Nature Communications. 12: 2017. PMID 33795682 DOI: 10.1038/s41467-021-22328-4   
2021 Wong AKC, Zhou PY, Butt ZA. Pattern discovery and disentanglement on relational datasets. Scientific Reports. 11: 5688. PMID 33707478 DOI: 10.1038/s41598-021-84869-4   
2021 Bonakdari H, Jamshidi A, Pelletier JP, Abram F, Tardif G, Martel-Pelletier J. A warning machine learning algorithm for early knee osteoarthritis structural progressor patient screening. Therapeutic Advances in Musculoskeletal Disease. 13: 1759720X21993254. PMID 33747150 DOI: 10.1177/1759720X21993254   
2021 Manerikar A, Li F, Kak AC. DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems1. Journal of X-Ray Science and Technology. PMID 33646192 DOI: 10.3233/XST-200808   
2021 Brimbal L, Meissner CA, Kleinman SM, Phillips EL, Atkinson DJ, Dianiska RE, Rothweiler JN, Oleszkiewicz S, Jones MS. Evaluating the benefits of a rapport-based approach to investigative interviews: A training study with law enforcement investigators. Law and Human Behavior. 45: 55-67. PMID 33734749 DOI: 10.1037/lhb0000437   
2021 Warren CJ, Wisener J, Ward B, Behbahani S, Shah T, Fano A, Paskhover B, Sadeghi-Nejad H. YouTube as a Patient Education Resource for Male Hypogonadism and Testosterone Therapy. Sexual Medicine. 9: 100324. PMID 33752104 DOI: 10.1016/j.esxm.2021.100324   
2021 Tsui FR, Shi L, Ruiz V, Ryan ND, Biernesser C, Iyengar S, Walsh CG, Brent DA. Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts. Jamia Open. 4: ooab011. PMID 33758800 DOI: 10.1093/jamiaopen/ooab011   
2021 Joyeux L, Javaux A, Eastwood MP, De Bie FR, Van den Bergh G, Degliuomini RS, Vergote S, Micheletti T, Callewaert G, Ourselin S, De Coppi P, Van Calenbergh F, Vander Poorten E, Deprest J. Validation of a high-fidelity training model for fetoscopic spina bifida surgery. Scientific Reports. 11: 6109. PMID 33731777 DOI: 10.1038/s41598-021-85607-6   
2021 Alves AFF, Souza SA, Ruiz RL, Reis TA, Ximenes AMG, Hasimoto EN, Pires RL, Miranda JRA, Pina DR. Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients. Physical and Engineering Sciences in Medicine. PMID 33730292 DOI: 10.1007/s13246-021-00988-2   
2021 Santamaría E, Nahás-Combina L, Altamirano-Arcos C, Vargas-Flores E. Master Series Microsurgery for Residents: Results from a Comprehensive Survey of a Multitudinous Online Course during COVID-19 Pandemic. Journal of Reconstructive Microsurgery. PMID 33598895 DOI: 10.1055/s-0041-1723822   
2021 Okamoto Y, Oka S, Tanaka S, Kamigaichi Y, Tamari H, Shimohara Y, Nishimura T, Inagaki K, Tanaka H, Matsumoto K, Yamashita K, Sumimoto K, Ninomiya Y, Hayashi N, Kitadai Y, et al. Effect of educational lecture on the diagnostic accuracy of Japan NBI Expert Team classification for colorectal lesions. Bmc Gastroenterology. 21: 110. PMID 33663383 DOI: 10.1186/s12876-021-01676-x   
2021 Abbott F, Ortega M, Bravo S, Basoalto R, Kattan E. Can we improve teaching and learning of percutaneous dilatational tracheostomy's bronchoscopic guidance? Sage Open Medicine. 9: 20503121211002321. PMID 33796301 DOI: 10.1177/20503121211002321   
2021 Augusto JB, Davies RH, Bhuva AN, Knott KD, Seraphim A, Alfarih M, Lau C, Hughes RK, Lopes LR, Shiwani H, Treibel TA, Gerber BL, Hamilton-Craig C, Ntusi NAB, Pontone G, et al. Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance. The Lancet. Digital Health. 3: e20-e28. PMID 33735065 DOI: 10.1016/S2589-7500(20)30267-3   
2021 Sellier A, Beucler N, Desse N, Julien C, Tannyeres P, Bernard C, Joubert C, Dagain A. Evaluation of neurosurgical training of French military surgeons prior to their deployment. Neuro-Chirurgie. PMID 33766563 DOI: 10.1016/j.neuchi.2021.03.005   
2021 Mancio J, Pashakhanloo F, El-Rewaidy H, Jang J, Joshi G, Csecs I, Ngo L, Rowin E, Manning W, Maron M, Nezafat R. Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy. European Heart Journal Cardiovascular Imaging. PMID 33779725 DOI: 10.1093/ehjci/jeab056   
2021 Seyyed-Kalantari L, Liu G, McDermott M, Chen IY, Ghassemi M. CheXclusion: Fairness gaps in deep chest X-ray classifiers. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 26: 232-243. PMID 33691020   
2021 Grant S, Pellatt RA, Shirran M, Sweeny AL, Perez SR, Khan F, Keijzers G. Safety of rapid sequence intubation in an emergency training network. Emergency Medicine Australasia : Ema. PMID 33565240 DOI: 10.1111/1742-6723.13742   
2021 Niehues SM, Adams LC, Gaudin RA, Erxleben C, Keller S, Makowski MR, Vahldiek JL, Bressem KK. Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine. Investigative Radiology. PMID 33826549 DOI: 10.1097/RLI.0000000000000771   
2021 Fernández-Miranda PM, Bellón PS, Del Barrio AP, Iglesias LL, García PS, Aguilar-Gómez F, González DR, Vega JA. Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray. Journal of Digital Imaging. PMID 33686526 DOI: 10.1007/s10278-021-00424-7   
2021 Aiman Akram S, Ansari Z, Akram S. Delayed gangrene and amputation of penile glans after a religious circumcision in male child - A case report. Tropical Doctor. 49475521998834. PMID 33719737 DOI: 10.1177/0049475521998834   
2021 Dahl FA, Rama T, Hurlen P, Brekke PH, Husby H, Gundersen T, Nytrø Ø, Øvrelid L. Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children. Bmc Medical Informatics and Decision Making. 21: 84. PMID 33663479 DOI: 10.1186/s12911-021-01451-8   
2021 Huang SF, Wen CY, Liao CI, Lin JC, Tsai CC. Leiomyomatosis peritonealis disseminata mimicking peritoneal carcinomatosis 13 years after laparoscopic uterine myomectomy: A case report. International Journal of Surgery Case Reports. 81: 105745. PMID 33743252 DOI: 10.1016/j.ijscr.2021.105745   
2021 Mukherjee S, Meacock J, Kissane E, Pal D. Factors relating to working hours restriction that have impacted the professional identity of trainees in the last decade. British Journal of Hospital Medicine (London, England : 2005). 82: 1-10. PMID 33792379 DOI: 10.12968/hmed.2020.0355   
2021 Xiang Z, Miller DJ, Wang H, Kesidis G. Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs without Access to the Training Set. Neural Computation. 1-43. PMID 33617746 DOI: 10.1162/neco_a_01376   
2021 Fernandez CSP, Green MA, Noble CC, Brandert K, Donnald K, Walker MR, Henry E, Rosenberg A, Dave G, Corbie-Smith G. Training "Pivots" from the Pandemic: Lessons Learned Transitioning from In-Person to Virtual Synchronous Training in the Clinical Scholars Leadership Program. Journal of Healthcare Leadership. 13: 63-75. PMID 33628069 DOI: 10.2147/JHL.S282881   
2021 Cho SM, Austin PC, Ross HJ, Abdel-Qadir H, Chicco D, Tomlinson G, Taheri C, Foroutan F, Lawler PR, Billia F, Gramolini A, Epelman S, Wang B, Lee DS. MACHINE LEARNING COMPARED TO CONVENTIONAL STATISTICAL MODELS FOR PREDICTING MYOCARDIAL INFARCTION READMISSION AND MORTALITY: A SYSTEMATIC REVIEW. The Canadian Journal of Cardiology. PMID 33677098 DOI: 10.1016/j.cjca.2021.02.020   
2021 Zhuo ZG, Li G, Song TN, Alai GH, Shen X, Wang Y, Lin YD. From McKeown to Ivor Lewis, the learning curve for thoracic lymphadenectomy over the first 100 robotic esophagectomy cases: a retrospective study. Journal of Thoracic Disease. 13: 1543-1552. PMID 33841946 DOI: 10.21037/jtd-20-2862   
2021 Docherty M, Regnier SA, Capkun G, Balp MM, Ye Q, Janssens N, Tietz A, Löffler J, Cai J, Pedrosa MC, Schattenberg JM. Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis. Journal of the American Medical Informatics Association : Jamia. PMID 33684933 DOI: 10.1093/jamia/ocab003   
2021 Jin W, Dong S, Dong C, Ye X. Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph. Computers in Biology and Medicine. 131: 104252. PMID 33610001 DOI: 10.1016/j.compbiomed.2021.104252