Bradley J Erickson MD PhD

PubMed

• 1 citations
  Comprehensive Segmentation of Gray Matter Structures on T1-Weighted Brain MRI: A Comparative Study of Convolutional Neural Network, Convolutional Neural Network Hybrid...
  Yujia Wei, Jaidip Manikrao Jagtap, Yashbir Singh, Bardia Khosravi, Jason Cai
  AJNR. American Journal of Neuroradiology. 2025-04-02
• Deep learning analysis of magnetic resonance imaging accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis.
  Yashbir Singh, John E Eaton, Sudhakar K Venkatesh, Christopher L Welle, Byron Smith
  Hepatology. 2025-03-20
• Applying Conformal Prediction to a Deep Learning Model for Intracranial Hemorrhage Detection to Improve Trustworthiness.
  Cooper Gamble, Shahriar Faghani, Bradley J Erickson
  Radiology. Artificial Intelligence. 2025-03-01

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
• 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
• 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
• 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
• 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
• 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
• 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
• Application of usability testing for improving PACS workstation design
  Erickson BJ, Kossack MF, 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 JPEG and wavelet compression on neuroradiologic images
  Erickson BJ, Persons KR, O'Connor TJ, Manduca A, Proceedings of ASNR, 1/1/1998
• 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
• 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

• Clinical and Research needs for Quantitative Imaging Informatics Tools 
  11/1/2013
• SIIM Workflow Initiative in Medicine Lexicon: Measuring and improving Workflow 
  11/1/2013
• Workflow Engines Hands on Course 
  11/1/2013
• How to Use Diffusion and Perfusion Imaging in Tumor Patients 
  11/1/2013
• Recognizing Tumefactive Demyelinating Disease 
  11/1/2013
• Imaging Informatics and Big Data 
  San Francisco, CA - 6/1/2013
• SWIM and Workflow Engines 
  Grapevine, TX - 6/1/2013
• DICMS UPS and IHE PAWF 
  Grapevine, TX - 6/1/2013
• Applications and challenges of quantitative imaging 
  Grapevine, TX - 6/1/2013
• Got Innovation? Where to go now 
  Grapevine, TX - 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
• Image CD Importation 
  12/1/2009
• The Brain 
  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
• Image registration improves confidence and accuracy of interpretation of brain MRIs 
  11/1/2004
• Reading room design 
  11/1/2004
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