POSTER PRESENTATIONS

·         Hagerty J, Stoecker WV, Stanley RJ. Data Integrity in Medical Datasets:  Information Leaks and Diagnosis. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, September 14, 2019.

·         Lama N, Hagerty J, Stanley R, Stoecker WV. Deep Learning: Advanced Fusion and Pyramidal Techniques for Exact-Class Diagnosis of Skin Cancer. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·         Almubarak H, Hagerty J, Stanley R, Stoecker WV. Deep Learning Strategy for High Score on an International Border Detection Challenge. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·         Hagerty J, Stanley RJ, Almubarak H, Lama N, Kasmi R, Guo P, Drugge RJ, Rabinovitz HS, Oliviero M, Stoecker WV. Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·         Stoecker WV, Hagerty J, Stanley J. Update on Deep Learning in Medicine: Advanced Technology and Most Promising Areas for Application. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·         Nambisan A, Hagerty J, Stanley R, Stoecker WV. Deep Learning Strategy for Automatic Detection of Skin Cancer Features. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·         Mishra NK, Kaur R, Kasmi R, Kefel S, Guvenc P, Cole JG, Hagerty J, Aradhyula HY, LeAnder R, Stanley RJ, Moss RH, Stoecker WV. Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques.  Ozark Biomedical Initiative Research Symposium (OBIRS), Missouri S&T, Rolla, MO, August 19, 2017.

·         Mundhe V, Almubarak H, Stanley RJ, Stoecker WV, Hagerty J. Fuzzy Ratio with Fuzzy Aggregation Operators for Skin Lesion Discrimination.  Ozark Biomedical Initiative Research Symposium (OBIRS), Missouri S&T, Rolla, MO, August 19, 2017.

·         Sornapugi S, Stanley RJ, Hagerty J, Stoecker WV.  Real-World Pill Segmentation based on Superpixel Merge Using Region Adjacency Graph. Ozark Biomedical Initiative Research Symposium (OBIRS), Missouri S&T, Rolla, MO, August 19, 2017.

·         Stoecker WV, Stanley RJ, Moss RH, Gupta K, Khan A. Fuzzy Logic Analysis for Dermoscopy Image Discrimination. Dermatology Internet Society Meeting, San Francisco, CA, March 2, 2006.

·         Stoecker WV, X. Chen, Moss RH, Umbaugh S, Stanley RJ, Shrestha B. A Watershed-Based Approach to Skin Lesion Border Segmentation. 6th World Congress on Melanoma, Vancouver, BC, September 7, 2005.

·         Stoecker WV, Jella P, Moss RH, Stanley RJ, Mukhopadhya P, Chen X. Automatic Melanoma Discrimination By Salient Point Detection. 6th World Congress on Melanoma, Vancouver, BC, September 7, 2005.

·         Stanley RJ, Stoecker WV, Moss RH, Gupta K, Jella P. Color and Structural Features for Automatic Skin Lesion Discrimination in Dermoscopy Images. 6th World Congress on Melanoma, Vancouver, BC, September 7, 2005.

·         Chen X, Moss R, Stoecker V, Stanley R, Lee R, Hvatum E, McLean R. Software Improvements in Hair Detection Using Dullrazor. 6th World Congress on Melanoma, Vancouver, BC, September 7, 2005.

 


OUTSIDE UNIVERSITY SETTING PRESENTATIONS

·         Stanley RJ, Baur S. An Academic Performance Assessment of Missouri University of Science and Technology (Missouri S&T) students with Project Lead the Way Experience. Project Lead The Way State Conference, Blue Springs South High School, Blue Springs, MO, November 5, 2017.

           

 

UNIVERSITY SETTING PRESENTATIONS

·           Nambisan A, Hagerty J, Stoecker WV, Stanley RJ. Feature Based Skin Lesion Diagnosis Using Deep Learning.  Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, September 14, 2019.

·           Hagerty J, Stoecker WV, Stanley RJ. Data Integrity in Medical Datasets:  Information Leaks and Diagnosis. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, September 14, 2019.

·           Mishra N, Almubarak H, Kaur R, Kasmi R, Kasmi R, Bosworth K, Stoecker WV, Stanley RJ. Fusion of Deep Learning and Classical Imaging Segmentation for Automatic Skin Cancer Diagnosis. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, September 14, 2019.

·           Sornapudi S, Hagerty J, Stanley RJ, Stoecker WV, Long R, Antani S, Thoma, G, Zuna R, Frazier SR. EpithNet: Deep Regression for Epithelium Segmentation in Cervical Histology Images. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, September 14, 2019.

·           Stoecker WV, Hagerty J, Stanley J. Update on Deep Learning in Medicine: Advanced Technology and Most Promising Areas for Application. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·           Lama N, Hagerty J, Stanley R, Stoecker WV. Deep Learning: Advanced Fusion and Pyramidal Techniques for Exact-Class Diagnosis of Skin Cancer. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·           Almubarak H, Hagerty J, Stanley R, Stoecker WV. Deep Learning Strategy for High Score on an International Border Detection Challenge. Ozark Biomedical Initiative Symposium, Missouri S&T, Rolla, MO, August 18, 2018.

·           PStanley J, Baur S. Educational Outcomes Research for Missouri S&T Students with and without Project Lead The Way Course Experience, Board of Curators Meeting, Missouri S&T, Friday, April 13, 2018.

·           Baur S, Stanley J. A Study on Instructors' & Students' Feedback and Assessment of Project Lead the Way (PLTW), Teaching and Learning Technology Conference, Missouri S&T, Thursday, March 17, 2016.

·           Stanley RJ, Baur S. Results of a Survey - S&T Student’s with PLTW Background, K.C. STEM Alliance and Missouri S&T PLTW Data Collection Meeting, September 22, 2014.

·           Banerjee K, Stanley RJ. Digitized Histology Image Analysis for Cervical Cancer Screening, 3rd Quadrennial Automatic Skin Cancer Detection Symposium (IEEE Co-Sponsored), Missouri University of Science and Technology, August 21, 2013.

·           Stoecker WV, Hagerty J, S. Stricklin, Moss RH, Stanley RJ, Shrestha B, Skin Scan Digital Dermoscopy Skin Cancer Training Software, University of Missouri Life Science Summit, Kansas City, MO, March 8, 2010.

·           Stanley RJ, Stoecker WV, Moss RH, Cheng B. Classifier Strategy in Lesion Discrimination and Application of Fusion Techniques to Melanoma Detection, 2nd Quadrennial Cutaneous S&T Imaging Conference (IEEE Co-Sponsored), Missouri University of Science and Technology, August 26, 2009.

·           Stanley RJ. Medical and Demining Neural Network Applications, Invited Lecture, Computational Intelligence course, University of Missouri-Rolla, September 7, 2006.

·           Stoecker WV, Stanley RJ. Fuzzy Logic, Regression and Neural Networks, Symposium on Automatic Detection of Malignant Melanoma in Dermoscopy Images, University of Missouri-Rolla, July 13, 2005.

·           Stanley RJ. Fuzzy logic, Relative Color and Neural Networks, Symposium on Automatic Detection of Malignant Melanoma in Dermoscopy Images, University of Missouri-Rolla, July 6, 2005.

·           Stanley RJ. Lessons Learned for New Faculty Member, New Faculty Forum, University Center-East, University of Missouri-Rolla, November 15, 2001.

·           Stanley RJ. The Application of Minefield Description to Minefield Detection, Department of Computer Engineering and Computer Science, University of Missouri-Columbia, October 20, 2000.

·           Stanley RJ. Medical Imaging Applications, Eta Kappa Nu Chapter Meeting, Emerson Electric Co. Hall, University of Missouri-Rolla, December 1, 1999.

·           Stanley RJ. Data-Driven Homologue Matching for Chromosome Identification, Health Management and Informatics Seminar Series, School of Medicine, University of Missouri, Columbia, MO, September 23, 1997.

·           Stanley RJ. Neural Network Applications, Health Services Management Seminar Series, Memorial Union, University of Missouri, November 19, 1995.