BradleyJEricksonMDPhD

PubMed

• Bone Age Prediction under Stress.
  Shahriar Faghani, Bradley J Erickson> ;Radiology. Artificial Intelligence. 2024 May 1
• Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence.
  Pouria Rouzrokh, Bradley J Erickson> ;Radiographics. 2024 May 1
• Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology.
  Richard M Levenson, Yashbir Singh, Bastian Rieck, Colleen Farrelly, Jennifer Rozenblit, Ashok Choudhary, Gunnar Carlsson, Deepa Deepa, Quincy A Hathaway, Prateek Prasa...> ;Laboratory Investigation; a Journal of Technical Methods and Pathology. 2024 Apr 14
• Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach.
  Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, John C Benson, Bradley J Erickson> ;AJNR. American Journal of Neuroradiology. 2024 Apr 8
• A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
  Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine P Andriole, Peter Chang, Keyva...> ;Journal of Imaging Informatics in Medicine. 2024 Apr 1
• Uncover This Tech Term: Uncertainty Quantification for Deep Learning.
  Shahriar Faghani, Cooper Gamble, Bradley J Erickson> ;Korean Journal of Radiology. 2024 Apr 1
• Automatic ARDS surveillance with chest X-ray recognition using convolutional neural networks.
  Run Zhou Ye, Vitaly Herasevich, Kirill Lipatov, Daniel Diedrich, Anirban Bhattacharyya, Bradley J Erickson, Brian W Pickering> ;Journal of Critical Care. 2024 Mar 28
• Checklist for Reproducibility of Deep Learning in Medical Imaging.
  Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lak...> ;Journal of Imaging Informatics in Medicine. 2024 Mar 14
• Abdominal Body Composition Reference Ranges and Association With Chronic Conditions in an Age- and Sex-Stratified Representative Sample of a Geographically Defined Ame...
  Alexander D Weston, Brandon R Grossardt, Hillary W Garner, Timothy L Kline, Alanna M Chamberlain, Alina M Allen, Bradley J Erickson, Walter A Rocca, Andrew D Rule, Jen...> ;The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences. 2024 Apr 1
• Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow.
  Ali Ganjizadeh, Stephanie J Zawada, Steve G Langer, Bradley J Erickson> ;Journal of Imaging Informatics in Medicine. 2024 Feb 16
• Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality.
  Grossardt, B., Weston, A., Kline, T., Chamberlain, A., Rocca, W., St Sauver, J., Rule, A., Garner, H., Allen, A., Erickson, B.> ;Mayo Clinic Proceedings. 2024 Feb 2
• Association of Kidney Cysts With Progressive CKD After Radical Nephrectomy.
  Denic, A., Mullan, A., Luehrs, A., Kline, T., Thompson, R., Harris, P., Sabov, M., Erickson, B., Potretzke, T., Sharma, V., Rule, A.> ;American Journal of Kidney Diseases. 2024 Jan 26
• 3 citations
  FDA Review of Radiologic AI Algorithms: Process and Challenges.
  Zhang, K., Khosravi, B., Vahdati, S., Erickson, B.> ;Radiology. 2024 Jan 1
• Deep-learning for automated detection of MSU deposits on DECT: evaluating impact on efficiency and reader confidence.
  Faghani, S., Moassefi, M., Patel, S., Rhodes, N., Powell, G., Baffour, F., Glazebrook, K., Erickson, B., Tiegs-Heiden, C.> ;Frontiers in Radiology. 2024 Jan 1
• The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update.
  Codipilly, D., Faghani, S., Hagan, C., Lewis, J., Erickson, B., Iyer, P.> ;Clinical Gastroenterology and Hepatology. 2023 Dec 26
• 5 citations
  Anonymizing Radiographs Using an Object Detection Deep Learning Algorithm.
  Khosravi, B., Mickley, J., Rouzrokh, P., Larson, A., Taunton, M., Erickson, B., Wyles, C.> ;Radiology. Artificial Intelligence. 2023 Nov 1
• Few-shot biomedical image segmentation using diffusion models: Beyond image generation.
  Bardia Khosravi, Pouria Rouzrokh, John P Mickley, Shahriar Faghani, Kellen Mulford, Linjun Yang, A Noelle Larson, Benjamin M Howe, Bradley J Erickson, Michael J Taunto...> ;Computer Methods and Programs in Biomedicine. 2023 Dec 1
• 4 citations
  THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification.
  Pouria Rouzrokh, John P Mickley, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, William R Schulz, Bradley J Erickson, Michael J Taunton, Cody C Wyles> ;The Journal of Arthroplasty. 2024 Apr 1
• 2 citations
  Educational Overview of the Concept and Application of Computer Vision in Arthroplasty.
  Diana V Vera-Garcia, Fred Nugen, Sirwa Padash, Bardia Khosravi, John P Mickley, Bradley J Erickson, Cody C Wyles, Michael J Taunton> ;The Journal of Arthroplasty. 2023 Oct 1
• 2 citations
  THA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution.
  Pouria Rouzrokh, Bardia Khosravi, John P Mickley, Bradley J Erickson, Michael J Taunton, Cody C Wyles> ;The Journal of Arthroplasty. 2024 Mar 1
• 1 citations
  Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges.
  Fred Nugen, Diana V Vera Garcia, Sunghwan Sohn, John P Mickley, Cody C Wyles, Bradley J Erickson, Michael J Taunton> ;The Journal of Arthroplasty. 2023 Oct 1
• 4 citations
  An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper.
  Sirwa Padash, John P Mickley, Diana V Vera Garcia, Fred Nugen, Bardia Khosravi, Bradley J Erickson, Cody C Wyles, Michael J Taunton> ;The Journal of Arthroplasty. 2023 Oct 1
• 7 citations
  Quantifying Uncertainty in Deep Learning of Radiologic Images.
  Shahriar Faghani, Mana Moassefi, Pouria Rouzrokh, Bardia Khosravi, Francis I Baffour, Michael D Ringler, Bradley J Erickson> ;Radiology. 2023 Aug 1
• 3 citations
  Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
  Mana Moassefi, Pouria Rouzrokh, Gian Marco Conte, Sanaz Vahdati, Tianyuan Fu, Aylin Tahmasebi, Mira Younis, Keyvan Farahani, Amilcare Gentili, Timothy Kline, Felipe C ...> ;Journal of Digital Imaging. 2023 Oct 1
• 2 citations
  Deep learning approach for differentiating indeterminate adrenal masses using CT imaging.
  Yashbir Singh, Zachary S Kelm, Shahriar Faghani, Dana Erickson, Tal Yalon, Irina Bancos, Bradley J Erickson> ;Abdominal Radiology. 2023 Oct 1
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Abstracts/Posters

• NCCTG (Alliance) N0572: A phase II trial of sorafenib and temsirolimus in recurrent glioblastoma (GBM) patients who progress following prior RT/temozolomide (TMZ) and ...
  Jaeckle KA, Schiff D, Anderson SK, Galanis E, Stella PJ, Flynn PJ, Sarkaria JN, Giannini C, Erickson BJ, Buckner JC, J Clin Oncol, 1/1/2013
• The RSNA/NIBIB image share project: from development to initial experience
  Mendelson D, Carr C, Chang P, Erickson B, Siegel E, Arenson R, Am J Roentgenol, 5/1/2012
• Apparent diffusion coefficient imaging characteristics of biopsy-proven acute inflammatory demyelinating brain lesions
  Abou Zeid N, Erickson BJ, Weigand S, Thomsen K, Parisi J, Linbo L, Lucchinetti CF, Mult Scler, 9/1/2008
• MRI intensities correlate with immunopathologic patterns in multiple sclerosis
  Erickson BJ, Bryant SC, Mandrekar J, Bruck W, Lassmann H, Parisi JE, Morales Y, Roemer S, Lucchinetti C, Neurology, 3/1/2006
• The radiographic spectrum of biopsy proven inflammatory demyelinating disease
  Gavrilova RH, Erickson B, Altintas A, Bamlet WE, Mandrekar J, Achenbach S, Parisi JE, Scheithauer B, Lucchinetti CF, Neurology, 3/1/2006
• Image resistration improves confidence and accuracy of image interpretation
  Erickson BJ, Wood C, Campeau N, Lindell EP, Savcenko V, Arslanlar N, Wang L, Neuro-oncol, 10/1/2004
• Validation of neuroradiologic response assessment in gliomas: RECIST (1D) vs 2D measurements vs computer-assisted tumor area vs volume
  Galanis E, Maurer MJ, Ballman KV, O’Fallon JR, Sykora R, Castillo R, Buckner JC, Erickson BJ, Proc Am Soc Clin Oncol, 1/1/2003
• The electronic imaging technology fellowship: design and realization of a new radiology subspecialty training program
  Bartholmai BJ, Erickson BJ, Hartman TE, King BF, James EM, Hangiandreou NJ, Acad Radiol, 5/1/2002
• North Central Cancer Treatment Group (NCCTG) neuro-oncology program
  Buckner J, Jaeckle K, Galanis E, Uhm J, O'Neill B, Moynihan T, Brown P, Sarkaria J, Schomberg P, Erickson B, Schaefer P, Flynn P, Reid J, Jenkins R, James C, Scheithau..., Neuro-oncol, 10/1/2001
• Clinical and neuroimaging features of primary central nervous system amyloidoma (PCNSA)
  Phan TG, O'Neill BP, Witzig TE, Campeau N, Erickson BJ, Scheithauer BW, Kurtin PJ, Neuro-oncol, 10/1/2000
• Routine clinical brain MR imaging at 3.0T: Initial Experience
  Campeau NG, Huston J, Bernstein MA, McGough PF, Luetmer PH, Erickson BJ, Wood CP, Felmlee JP, Jack CR Jr, Proceedings from 38th Annual Meeting of the American Society of Neuroradiology, 4/3/2000
• Effects of irreversible compression on neuro CT and MR images
  Erickson BJ, Campeau NG, Huston J, Wood CP, Schreiner SA, Savcenko V, Persons KR, Proceedings from 38th Annual Meeting of the American Society of Neuroradiology, 4/3/2000
• Application of usability testing for improving PACS workstation design
  Erickson BJ, Kossack MF, The International Society For Optical Engineering (SPIE), 2/1/2000
• JPEG 2000 compression of medical imagery
  Foos DH, Muka E, Slone RM, Erickson BJ, Flynn MJ, Horii SC, Clunie DA, Kohm KS, Young SS, The International Society For Optical Engineering (SPIE), 2/1/2000
• Motion analysis as an outcome in progressive multiple sclerosis: A pilot trial
  Noseworthy JH, Wingerchuk DM, Erickson BJ, Walker AE, Kaufman KR, Neurology, 4/1/1999
• Image Distribution: The World Beyond the Radiology Department
  Erickson BJ, Proceedings from Advances in Diagnostic Radiology, 9/13/1998
• Effects Of Gd-DTPA Contrast Material On Single Voxel Proton Magnetic Resonance Spectroscopy
  Campeau NG, Wood CP, Erickson BJ, Jack CR, Felmlee JP, Proceedings of 36th Annual Meeting of the ASNR, 1/1/1998
• Effects of JPEG and wavelet compression on neuroradiologic images
  Erickson BJ, Persons KR, O'Connor TJ, Manduca A, Proceedings of ASNR, 1/1/1998
• Wavelet compression and its effect on medical image content
  Persons KR, Palisson P, Manduca A, Erickson BJ, Savcenko V, O'Connor TJ, Radiology, 11/1/1997
• Integration Of PACS Image Display With An Electronic Medical Record
  Erickson BJ, Gehring DG, Ryan WJ, The International Society For Optical Engineering (SPIE), 2/1/1997
• Automatic Segmentation Of MR Brain Images In Multiple Sclerosis Patients
  Avula RTA, Erickson BJ, The International Society For Optical Engineering (SPIE), 2/1/1996
• Utilization of electronic imaging at the Mayo Clinic
  King BF, Hangiandreou NJ, Earnest F, Erickson BJ, Reading CC, Sheedy PF, et al, Radiology, 1/1/1995
• Initial clinical experience with an optimized fast FLAIR pulse sequence
  Rydberg JN, Hammond CA, Grimm RC, Erickson BJ, Jack CR, Huston J, Riederer SJ, 1st Meeting, Society Magn Reson, Dallas, TX, 3/1/1994
• Accurate quantitation of MS plaques using fast FLAIR imaging
  Erickson BJ, Rydberg JN, Grimm RC, Hammond CA, SMRI, 1/1/1994
• Integration of a computerized teaching file into a PACS
  Erickson BJ, Forbes GS, Proceedings of the Radiologic Society of North America, 5/1/1993
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Lectures

• Recognizing Tumefactive Demyelinating Disease 
  11/1/2013
• How to Use Diffusion and Perfusion Imaging in Tumor Patients 
  11/1/2013
• Workflow Engines Hands on Course 
  11/1/2013
• SIIM Workflow Initiative in Medicine Lexicon: Measuring and improving Workflow 
  11/1/2013
• Clinical and Research needs for Quantitative Imaging Informatics Tools 
  11/1/2013
• Got Innovation? Where to go now 
  Grapevine, TX - 6/1/2013
• Applications and challenges of quantitative imaging 
  Grapevine, TX - 6/1/2013
• DICMS UPS and IHE PAWF 
  Grapevine, TX - 6/1/2013
• SWIM and Workflow Engines 
  Grapevine, TX - 6/1/2013
• Imaging Informatics and Big Data 
  San Francisco, CA - 6/1/2013
• The Intersection of Informatics and Neuroradiology 
  Tucson, AZ - 4/1/2013
• Image Processing Plenary: Applications and Challenges 
  11/1/2012
• MRI Pearls for Endocrinologists 
  4/1/2012
• Development and Validation of CAD Tools in Medical Imaging 
  9/1/2011
• Informatics and the Value Proposition 
  Scottsdale, AZ - 12/1/2010
• Setting Up a 3D Lab 
  Minneapolis, MN - 6/1/2010
• Performance evaluation of machine learning in the assessment of solitary pulmonary nodules by computer tomography 
  3/1/2010
• The Brain 
  12/1/2009
• Image CD Importation 
  12/1/2009
• Automated change detection for brain tumors and other neurologic diseases 
  University of Heidelberg Computer Science, Heidelberg, Germany - 5/14/2008
• The Role of Informatics in Today's Imaging Department 
  Hospital for Sick Children, Toronto, Ontario, Canada - 4/21/2008
• Using IT to manage customer relationships 
  10/1/2005
• NIH/SCAR joint conference on transforming the radiological interpretation process 
  Bethesda, MD - 1/31/2005
• PACS Displays: What is right and Where? 
  11/1/2004
• Reading room design 
  11/1/2004
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