Search results for "multi-institutional"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
34	Tzu-Yi Chen, Alvaro E. Monge, Beth Simon	Relationship of early programming language to novice generated design.	SIGCSE	2006	DBLP DOI BibTeX RDF	first competency, multi-institutional, design, programming language, CS1, novice, paradigm
33	Stephen P. Miller, Robert S. Detrick, John J. Helly 0001	DIGARCH project highlights multi-institutional testbed for scalable digital archiving.	DG.O	2006	DBLP DOI BibTeX RDF
32	Thomas Lee Rodgers, Evan E. Anderson, Ming Yuan, Timothy Manning	Impact of Technology Sustainability on Healthcare Governance.	HICSS	2003	DBLP DOI BibTeX RDF	multi-institutional technology partnership, technology sustainability, healthcare governance, organizational continuity, inter-organizational network
28	Stephen Langella, Scott Oster, Shannon Hastings, Frank Siebenlist, Tahsin M. Kurç, Joel H. Saltz	Dorian: Grid Service Infrastructure for Identity Management and Federation.	CBMS	2006	DBLP DOI BibTeX RDF
24	Nicole K. Laprise, Richard Hanusik, T. J. FitzGerald, Nancy Rosen, Keith S. White	Developing a Multi-Institutional PACS Archive and Designing Processes to Manage the Shift from a Film to a Digital-Based Archive.	J. Digit. Imaging	2009	DBLP DOI BibTeX RDF	workflow, PACS, quality assurance, archive, digital imaging, digital imaging and communications in medicine (DICOM), clinical trial, radiotherapy, digital image management
24	Umar Farooq 0010, Shikharesh Majumdar, Eric W. Parsons	A Framework to Achieve Guaranteed QoS for Applications and High System Performance in Multi-Institutional Grid Computing.	ICPP	2006	DBLP DOI BibTeX RDF
24	Laurie Murphy, Renée McCauley, Suzanne Westbrook, Timothy V. Fossum, Susan M. Haller, Briana B. Morrison, Brad Richards, Kate Sanders 0001, Carol Zander, Ruth E. Anderson	A multi-institutional investigation of computer science seniors' knowledge of programming concepts.	SIGCSE	2005	DBLP DOI BibTeX RDF	knowledge, content analysis, expertise, card sort
24	Charles J. Hannon, Manfred Huber, Lisa J. Burnell	Research to classroom: experiences from a multi-institutional course in smart home technologies.	SIGCSE	2005	DBLP DOI BibTeX RDF	research in the classroom, using emerging instructional technology, pedagogy, CS education research
24	Kelly H. Zou, Douglas N. Greve, Meng Wang, Steven D. Pieper, Simon K. Warfield, Nathan S. White, Mark G. Vangel, Ron Kikinis, William M. Wells III, First Birn	A Prospective Multi-institutional Study of the Reproducibility of fMRI: A Preliminary Report from the Biomedical Informatics Research Network.	MICCAI (2)	2004	DBLP DOI BibTeX RDF
21	Mark P. McCahill, Julian Lombardi	Design for an Extensible Croquet-Based Framework to Deliver a Persistent, Unified, Massively Multi-User, and Self-Organizing Virtual Environment.	C5	2004	DBLP DOI BibTeX RDF
21	Hyoil Han, Il-Yeol Song, Xiaohua Hu 0001, Ann Prestrud, Murray F. Brennan, Ari D. Brooks	Managing and Mining Clinical Outcomes.	DASFAA	2004	DBLP DOI BibTeX RDF
19	Ali Shaikh Ali, Omer F. Rana	Formalising trust for online communities.	AAMAS	2005	DBLP DOI BibTeX RDF	trust, reputation
16	Barbara J. Ericson, Janice L. Pearce, Susan H. Rodger, Andrew Csizmadia, Rita Garcia, Francisco J. Gutierrez, Konstantinos Liaskos, Aadarsh Padiyath, Michael James Scott, David H. Smith, Jayakrishnan Madathil Warriem, Angela M. Zavaleta Bernuy	Multi-Institutional Multi-National Studies of Parsons Problems.	ITiCSE-WGR	2023	DBLP DOI BibTeX RDF
16	Lucas Emanuel Silva e Oliveira, Ana Carolina Peters, Adalniza Moura Pucca da Silva, Caroline P. Gebeluca, Yohan Bonescki Gumiel, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid A. Hasan, Claudia Maria Cabral Moro	SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks.	J. Biomed. Semant.	2022	DBLP DOI BibTeX RDF
16	Barbara J. Ericson, Paul Denny 0001, James Prather, Rodrigo Duran 0001, Arto Hellas, Juho Leinonen 0001, Craig S. Miller, Briana B. Morrison, Janice L. Pearce, Susan H. Rodger	Planning a Multi-institutional and Multi-national Study of the Effectiveness of Parsons Problems.	ITiCSE (2)	2022	DBLP DOI BibTeX RDF
16	Lucas Emanuel Silva e Oliveira, Ana Carolina Peters, Adalniza Moura Pucca da Silva, Caroline P. Gebeluca, Yohan Bonescki Gumiel, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid A. Hasan, Claudia Maria Cabral Moro	SemClinBr - a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks.	CoRR	2020	DBLP BibTeX RDF
16	Ling Zhang 0002, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao 0006, Le Lu 0001	Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans.	CoRR	2020	DBLP BibTeX RDF
16	Ling Zhang 0002, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao 0006, Le Lu 0001	Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.	MICCAI (4)	2020	DBLP DOI BibTeX RDF
16	Parita Sanghani, Beng Ti Ang, Nicolas Kon Kam King, Hongliang Ren 0001	Regression based overall survival prediction of glioblastoma multiforme patients using a single discovery cohort of multi-institutional multi-channel MR images.	Medical Biol. Eng. Comput.	2019	DBLP DOI BibTeX RDF
16	Lucas Emanuel Silva e Oliveira, Yohan Bonescki Gumiel, Arnon Bruno Ventrilho dos Santos, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid A. Hasan, Claudia Maria Cabral Moro	Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.	MedInfo	2019	DBLP DOI BibTeX RDF
16	Keith Quille, Natalie Culligan, Susan Bergin	Insights on Gender Differences in CS1: A Multi-institutional, Multi-variate Study.	ITiCSE	2017	DBLP DOI BibTeX RDF
16	Filippo Molinari, Kristen M. Meiburger, Luca Saba, U. Rajendra Acharya, Giuseppe Ledda, Guang Zeng, Sin Yee Stella Ho, Anil T. Ahuja, Suzanne C. Ho, Andrew Nicolaides, Jasjit S. Suri	Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods.	Comput. Methods Programs Biomed.	2012	DBLP DOI BibTeX RDF
16	Josh Tenenberg, Sally Fincher	Students Designing Software: a Multi-National, Multi-Institutional Study.	Informatics Educ.	2005	DBLP DOI BibTeX RDF
16	Sally Fincher, Raymond Lister, Tony Clear, Anthony V. Robins, Josh Tenenberg, Marian Petre	Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs.	ICER	2005	DBLP DOI BibTeX RDF
16	Ken Blaha, Alvaro E. Monge, Dean Sanders, Beth Simon, Tammy VanDeGrift	Do students recognize ambiguity in software design? a multi-national, multi-institutional report.	ICSE	2005	DBLP DOI BibTeX RDF	requirements, software design, ambiguity
16	Tammy VanDeGrift, Beth Simon, Dean Sanders, Ken Blaha	Do Students Recognize Ambiguity in Software Specifications? A Multi-national, Multi-institutional Report.	Software Education and Training Sessions @ ICSE	2005	DBLP DOI BibTeX RDF
16	Frances S. Grodzinsky, Joe Griffin	Blackboard: a Web-based resource in the teaching of a multi-disciplinary/multi-institutional computer ethics course.	ISTAS	2002	DBLP DOI BibTeX RDF
16	Veena Gowda, Margaret Gross King, Viki Huegel, Jeffrey P. Krischer, Lynn Anderson	A Database-driven Web-based System for Managing Research Protocol Change in a Multi-protocol, Multi-institutional Setting.	AMIA	2002	DBLP BibTeX RDF
16	Michael McCracken, Vicki L. Almstrum, Danny Diaz, Mark Guzdial, Dianne Hagan, Yifat Ben-David Kolikant, Cary Laxer, Lynda Thomas, Ian Utting, Tadeusz Wilusz	A multi-national, multi-institutional study of assessment of programming skills of first-year CS students.	ACM SIGCSE Bull.	2001	DBLP DOI BibTeX RDF
16	Veena Gowda, Margaret Gross King, Viki Huegel, Jeffrey P. Krischer, Lynn Anderson	A Database-driven Web-based System for Managing Research Protocol Change in a Multi-protocol, Multi-institutional Setting.	AMIA	2001	DBLP BibTeX RDF
14	Yuan Chen, Ronglai Shen, Xiwen Feng, Katherine Panageas	Unlocking the Power of Multi-institutional Data: Integrating and Harmonizing Genomic Data Across Institutions.	CoRR	2024	DBLP DOI BibTeX RDF
14	Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai	Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.	IEEE J. Biomed. Health Informatics	2024	DBLP DOI BibTeX RDF
14	Judy Sheard, Paul Denny 0001, Arto Hellas, Juho Leinonen 0001, Lauri Malmi, Simon	Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study.	SIGCSE (1)	2024	DBLP DOI BibTeX RDF
14	Vidushi Ojha, Leah West, Colleen M. Lewis	Computing Self-Efficacy in Undergraduate Students: A Multi-Institutional and Intersectional Analysis.	SIGCSE (1)	2024	DBLP DOI BibTeX RDF
14	Yunhee Woo, Dongyoung Kim, Jaemin Jeong, Won-Sook Lee, Jeong-Gun Lee, Dong-Kyu Kim	Automatic Sleep Stage Classification Using Deep Learning Algorithm for Multi-Institutional Database.	IEEE Access	2023	DBLP DOI BibTeX RDF
14	Bo Zhou 0009, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu	FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising.	Medical Image Anal.	2023	DBLP DOI BibTeX RDF
14	Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel	Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study.	J. Digit. Imaging	2023	DBLP DOI BibTeX RDF
14	Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz	Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports.	J. Digit. Imaging	2023	DBLP DOI BibTeX RDF
14	Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim, Sherjeel Arif, Rachel Madhogarhia, Thinh Q. Nguyen, Elizabeth A. Frenkel, Zeinab Helili, Jessica Harrison, Keyvan Farahani, Marius George Linguraru, Ulas Bagci, Yury Velichko, Jeffrey Stevens, Sarah E. S. Leary, Robert M. Lober, Stephani Campion, Amy A. Smith, Denise Morinigo, Brian Rood, Kimberly Diamond, Ian F. Pollack, Melissa Williams, Arastoo Vossough, Jeffrey B. Ware, Sabine Müller 0002, Phillip B. Storm, Allison P. Heath, Angela J. Waanders, Jena V. Lilly, Jennifer L. Mason, Adam C. Resnick, Ali Nabavizadeh	A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.	CoRR	2023	DBLP DOI BibTeX RDF
14	Yifan Wu, Hayden Gunraj, Chi-En Amy Tai, Alexander Wong	COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics.	CoRR	2023	DBLP DOI BibTeX RDF
14	Han Liu, Yubo Fan, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz	Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation.	CoRR	2023	DBLP DOI BibTeX RDF
14	Gustav Müller-Franzes, Fritz Müller-Franzes, Luisa Huck, Vanessa Raaff, Eva Kemmer, Firas Khader, Soroosh Tayebi Arasteh, Teresa Nolte, Jakob Nikolas Kather, Sven Nebelung, Christiane Kuhl, Daniel Truhn	Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation.	CoRR	2023	DBLP DOI BibTeX RDF
14	Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen	Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes.	CoRR	2023	DBLP DOI BibTeX RDF
14	Arda Pekis, Vignesh Kannan, Evandros Kaklamanos, Anu Antony, Snehal Patel, Tyler Earnest	Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI.	CoRR	2023	DBLP DOI BibTeX RDF
14	Chi-En Amy Tai, Hayden Gunraj, Alexander Wong	A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.	CoRR	2023	DBLP DOI BibTeX RDF
14	Bo Zhou 0009, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu	FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising.	CoRR	2023	DBLP DOI BibTeX RDF
14	Chun Chang, Shu-Chen Liao, Shih-Chieh Shao	Positive Predictive Values of Anaphylaxis Diagnosis in Claims Data: A Multi-Institutional Study in Taiwan.	J. Medical Syst.	2023	DBLP DOI BibTeX RDF
14	Bo Chen, Yicheng Mao, Jiacheng Li, Zhengxiao Zhao, Qiwen Chen, Yaoyao Yu, Yunjun Yang, Yulong Dong, Ganglian Lin, Jiangqiao Yao, Mengmeng Lu, Lijun Wu, Zhiyuan Bo, Gang Chen, Xiaozai Xie	Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
14	Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, Peter Boor, Deniz Gündüz, Slava Voloshynovskiy, Habib Zaidi	Multi-institutional PET/CT image segmentation using federated deep transformer learning.	Comput. Methods Programs Biomed.	2023	DBLP DOI BibTeX RDF
14	Dabbara Keshava Chowdari, Nunna Radhasyam, Anabik Pal, Angshuman Paul	Federated learning using multi-institutional data for generalizable chest x-ray diagnosis.	Medical Imaging: Computer-Aided Diagnosis	2023	DBLP DOI BibTeX RDF
14	Barbara J. Ericson, Janice L. Pearce, Susan H. Rodger, Andrew Csizmadia, Rita Garcia, Francisco J. Gutierrez, Konstantinos Liaskos, Aadarsh Padiyath, Michael James Scott, David H. Smith, Jayakrishnan Warriem, Angela M. Zavaleta Bernuy	Conducting Multi-Institutional Studies of Parsons Problems.	ITiCSE (2)	2023	DBLP DOI BibTeX RDF
14	ChulHyoung Park, Sang Jun Park, Da Yun Lee, Seng Chan You, Kihwang Lee, Rae Woong Park	Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM).	MedInfo	2023	DBLP DOI BibTeX RDF
14	Zhifang Deng, Dandan Li, Shi Tan, Ying Fu, Xueguang Yuan, Xiaohong Huang, Yong Zhang, Guangwei Zhou	FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation.	MICCAI (2)	2023	DBLP DOI BibTeX RDF
14	Wen Li, Yiming Shi, Saikit Lam, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Tian Li, Shaohua Zhi, Bernie Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai	Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study.	CMMCA@MICCAI	2023	DBLP DOI BibTeX RDF
14	Karthik Natarajan, Chunhua Weng, Soumitra Sengupta	A Model for Multi-Institutional Clinical Data Repository.	MIE	2023	DBLP DOI BibTeX RDF
14	Agung Alfiansyah, Helena Widiarti, Vincentius Reynaldo, Wilsen Widjaja, Laurent Bobelin	A Framework for Multi Institutional Collaboration for Pneumonia Screening by Means of Federated Learning.	CECNet	2023	DBLP DOI BibTeX RDF
14	Klaus Kades	Current Challenges in the Application of Algorithms in Multi-institutional Clinical Settings (PDF / PS)		2023	RDF
14	Hailey H. Choi, Amy L. Kotsenas, Joshua Vic Chen, Christina Bronsky, Christopher J. Roth, Marc D. Kohli	Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals.	J. Digit. Imaging	2022	DBLP DOI BibTeX RDF
14	Pengfei Guo, Dong Yang 0005, Ali Hatamizadeh, An Xu, Ziyue Xu 0001, Wenqi Li 0001, Can Zhao 0001, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel 0001, Holger R. Roth	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.	CoRR	2022	DBLP DOI BibTeX RDF
14	Ziyuan Yang 0001, Wenjun Xia, Zexin Lu, Yingyu Chen, Xiaoxiao Li, Yi Zhang 0018	Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging.	CoRR	2022	DBLP DOI BibTeX RDF
14	Kenichiro Ando, Takashi Okumura, Mamoru Komachi, Hiromasa Horiguchi, Yuji Matsumoto 0001	Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan.	CoRR	2022	DBLP DOI BibTeX RDF
14	Axel Wismüller, Adora M. DSouza, Anas Z. Abidin, M. Ali Vosoughi, Christopher Gange, Isabel O. Cortopassi, Gracijela Bozovic, Alexander A. Bankier, Kiran Batra, Yosef Chodakiewitz, Yin Xi, Christopher T. Whitlow, Janardhana Ponnatapura, Gary J. Wendt, Eric P. Weinberg, Larry Stockmaster, David A. Shrier, Min Chul Shin, Roshan Modi, Hao Steven Lo, Seth Kligerman, Aws Hamid, Lewis D. Hahn, Glenn M. Garcia, Jonathan H. Chung, Talissa Altes, Suhny Abbara, Anna S. Bader	Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.	npj Digit. Medicine	2022	DBLP DOI BibTeX RDF
14	Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Shayan Mostafaei, Azadeh Akhavanallaf, Abdollah Saberi, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Bardia Khosravi, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Arash Teimouri, Fatemeh Movaseghi, Azin Ahmari, Neda Goharpey, Rama Bozorgmehr, Hesamaddin Shirzad-Aski, Roozbeh Mortazavi, Jalal Karimi, Nazanin Mortazavi, Sima Besharat, Mandana Afsharpad, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi	COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.	Comput. Biol. Medicine	2022	DBLP DOI BibTeX RDF
14	Yuyang Tong, Jingwen Zhang, Yi Wei, Jinhua Yu, Weiwei Zhan, Hansheng Xia, Shichong Zhou, Yuanyuan Wang 0001, Cai Chang	Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study.	BMC Medical Imaging	2022	DBLP DOI BibTeX RDF
14	Di Sun, Lubomir M. Hadjiiski, Rohan Garje, Yousef Zakharia, Lauren Pomerantz, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kimberly Shampain, Nathaniel Meyer, Daniel Barkmeier, Sean Woolen, Phillip L. Palmbos, Alon Z. Weizer, Ravi K. Samala, Chuan Zhou 0002, Martha M. Matuszak	Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
14	Yiting Xie, Benedikt Graf, Parisa Farzam, Brian Baker, Christine Lamoureux, Arkadiusz Sitek	Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT.	Medical Imaging: Computer-Aided Diagnosis	2022	DBLP DOI BibTeX RDF
14	Jack Parkinson, Sebastian Dziallas, Gary Lewandowski, Fiona McNeill, Jim Williams, Quintin I. Cutts	Experience Report: Running and Participating in a Multi-Institutional Research in Practice Project Activity (RIPPA).	UKICER	2022	DBLP DOI BibTeX RDF
14	Melissa Cragin, Ron Hutchins, Maureen Dougherty, James Barr von Oehsen, Michael Zink, D. Balamurugan, John Goodhue	Federating CI Policy in Support of Multi-institutional Research: Lessons from the Ecosystem for Research Networking.	PEARC	2022	DBLP DOI BibTeX RDF
14	Andrea R. Gammon, Qin Zhu, Scott C. Streiner, Rockwell F. Clancy, Ryan Thorpe	Developing conceptual and methodological foundations for a cross-cultural, multi-institutional study of ethical reasoning and moral dispositions of engineering students.	FIE	2022	DBLP DOI BibTeX RDF
14	Jiang Zhang, Saikit Lam, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Francis Kar-ho Lee, Kwok-hung Au, Celia Wai-yi Yip, Amy Tien Yee Chang, Lawrence Wing-Chi Chan, Victor Ho-fun Lee, Qingrong Jackie Wu, Jing Cai	Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases.	CMMCA@MICCAI	2022	DBLP DOI BibTeX RDF
14	Wen Li, Saikit Lam, Tian Li, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Jiang Zhang, Xinzhi Teng, Shaohua Zhi, Ge Ren, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Amy Tien Yee Chang, Jing Cai	Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.	MICCAI (8)	2022	DBLP DOI BibTeX RDF
14	Natalie M. Baughan, Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Michael F. McNitt-Gray, Kyle J. Myers, Maryellen L. Giger	Sequestration of imaging studies in MIDRC: a multi-institutional data commons.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2022	DBLP DOI BibTeX RDF
14	Pengfei Guo, Dong Yang 0005, Ali Hatamizadeh, An Xu, Ziyue Xu 0001, Wenqi Li 0001, Can Zhao 0001, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel 0001, Holger R. Roth	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.	ECCV (21)	2022	DBLP DOI BibTeX RDF
14	Genevieve Melton-Meaux, Leslie Lenert, Michael J. Becich, Shawn N. Murphy, Thomas R. Campion Jr.	Research Patient Data Repositories: Perspectives from JAMIA Special Issue Editors on the Next Generation of Multi-Institutional Data Sharing.	AMIA	2022	DBLP BibTeX RDF
14	Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren	End-to-end privacy preserving deep learning on multi-institutional medical imaging.	Nat. Mach. Intell.	2021	DBLP DOI BibTeX RDF
14	Yingda Xia, Dong Yang 0005, Wenqi Li 0001, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth	Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.	CoRR	2021	DBLP BibTeX RDF
14	Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel 0001	Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning.	CoRR	2021	DBLP BibTeX RDF
14	Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao 0006, Le Lu 0001, Senxiang Yan, Dakai Jin, Tsung-Ying Ho	Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT.	CoRR	2021	DBLP BibTeX RDF
14	Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao 0006, Adam P. Harrison, Le Lu 0001, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho	Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study.	CoRR	2021	DBLP BibTeX RDF
14	Yusuf Efe	A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS.	CoRR	2021	DBLP BibTeX RDF
14	Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig	Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs.	Int. J. Interact. Multim. Artif. Intell.	2021	DBLP DOI BibTeX RDF
14	Harris Carmichael, Jean Coquet, Ran Sun, Shengtian Sang, Danielle Groat, Steven M. Asch, Joseph Bledsoe, Ithan D. Peltan, Jason R. Jacobs, Tina Hernandez-Boussard	Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study.	J. Biomed. Informatics	2021	DBLP DOI BibTeX RDF
14	Lubomir M. Hadjiiski, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kenny H. Cha, Ravi K. Samala, Phillip L. Palmbos, Alon Z. Weizer	Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support.	Medical Imaging: Computer-Aided Diagnosis	2021	DBLP DOI BibTeX RDF
14	Raissa Souza, Anup Tuladhar, Pauline Mouches, Matthias Wilms, Lakshay Tyagi, Nils D. Forkert	Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets.	BrainLes@MICCAI (2)	2021	DBLP DOI BibTeX RDF
14	Vijayalakshmi Ramasamy, Mourya Reddy Narasareddygari, Gursimran Singh Walia, Andrew A. Allen, Debra M. Duke, James D. Kiper, Debra Lee Davis	Meta-analysis to study the impact of learning engagement strategies in introductory computer programming courses: a multi-institutional study.	ACM Southeast Conference	2021	DBLP DOI BibTeX RDF
14	Viraj Kumar, Amey Karkare	Instructor Performance on Progressively Complex Programming Tasks: A Multi-Institutional Study from India.	ITiCSE (1)	2021	DBLP DOI BibTeX RDF
14	Yunhee Woo, Dongyoung Kim, Jaemin Jeong, Dong-Kyu Kim, Jeong-Gun Lee	Image-based Sleep Stage Classification Model for Multi-Institutional Dataset.	ICTC	2021	DBLP DOI BibTeX RDF
14	Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel 0001	Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning.	CVPR	2021	DBLP BibTeX RDF
14	Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello, Sung Min Ha, Gaurav Shukla, Adam E. Flanders, Aikaterini Kotrotsou, Mikhail Milchenko, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Pamela LaMontagne, Arash Nazeri, Sanjay N. Talbar, Spyridon Bakas	Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.	NeuroImage	2020	DBLP DOI BibTeX RDF
14	Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin	Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging.	J. Am. Medical Informatics Assoc.	2020	DBLP DOI BibTeX RDF
14	Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin	Accounting for data variability in multi-institutional distributed deep learning for medical imaging.	J. Am. Medical Informatics Assoc.	2020	DBLP DOI BibTeX RDF
14	Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert	A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets.	Nat. Mach. Intell.	2020	DBLP DOI BibTeX RDF
14	Nathaniel Braman, Mohammed El Adoui, Manasa Vulchi, Paulette Turk, Maryam Etesami, Pingfu Fu, Kaustav Bera, Stylianos Drisis, Vinay Varadan, Donna Plecha, Mohammed Benjelloun, Jame Abraham, Anant Madabhushi	Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.	CoRR	2020	DBLP BibTeX RDF
14	Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna	Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.	CoRR	2020	DBLP BibTeX RDF
14	Yoichi Sato, Takamune Asamoto, Yutaro Ono, Ryosuke Goto, Asahi Kitamura, Seiwa Honda	A Computer-Aided Diagnosis System Using Artificial Intelligence for Proximal Femoral Fractures Enables Residents to Achieve a Diagnostic Rate Equivalent to Orthopedic Surgeons - multi-institutional joint development research.	CoRR	2020	DBLP BibTeX RDF
14	Pochuan Wang, Chen Shen 0002, Holger R. Roth, Dong Yang 0005, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori	Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.	CoRR	2020	DBLP BibTeX RDF
14	Mandy VanSandt, Kevin Turner, Raj Dash, Dorina Gui, Madalina Tuluc, Steven Hart, Philipp W. Raess	Pathologist Opinions about EPIC Beaker AP: a Multi-Institutional Survey of Early Adopters.	J. Medical Syst.	2020	DBLP DOI BibTeX RDF
14	Kevin Fosnacht	Information Literacy's Influence on Undergraduates' Learning and Development: Results from a Large Multi-institutional Study.	Coll. Res. Libr.	2020	DBLP DOI BibTeX RDF
14	Alison E. Kay, Judy Hardy, Ross K. Galloway	Student use of PeerWise: A multi-institutional, multidisciplinary evaluation.	Br. J. Educ. Technol.	2020	DBLP DOI BibTeX RDF
14	Karl R. Wurst, Christopher Radkowski, Stoney Jackson, Heidi J. C. Ellis, Darci Burdge, Lori Postner	LibreFoodPantry: Developing a Multi-Institutional, Faculty-Led, Humanitarian Free and Open Source Software Community.	SIGCSE	2020	DBLP DOI BibTeX RDF