1) Stoecker WV, Moss RH, Stanley RJ, Chen X, Gupta K,
Narayana R, Shrestha B, Jella P. Automatic Detection of Critical Dermoscopy Features
For Malignant Melanoma Diagnosis. Patent number US7689016, April 19, 2010.
2) Stanley J, Waldman G, Hobson
G, Wootton JR. Residual Mail Detection and Container Alignment. Patent number
6190110, Systems & Electronics, Inc., February 20, 2001.
3) Hobson G, Stanley RJ.
Automatic Address Extractor. Patent
number 6370259, Systems & Electronics, Inc., April 9, 2002.
JOURNAL
PUBLICATIONS
1) Sornapudi
S, Addanki R, Stanley RJ, Stoecker WV, Long R, Xue Z, Antani S, Thoma G, Zuna R,
Frazier SR. Automated
Cervical Digitized Histology Whole Slide Image Analysis Toolbox. In press.
Journal of Pathology Informatics, February 2021.
2) Baur S, Stanley RJ, Ziegler
B. Student Survey Assessment
of Precollege and
Project Lead The Way
Experience for College Preparation.
Transactions on Techniques in STEM Education, vol. 6, no. 1, pp. 70-83, 2020.
3) Sornapudi
S, Stanley RJ, Stoecker WV, Long R, Xue Z, Antani S, Thoma G, Zuna R, Frazier SR. DeepCIN: Attention-based Cervical Histology Image
Classification with Sequential Feature Modelling for Pathologist-Level
Accuracy. Journal of Pathology
Informatics [serial
online] 2020; 11:40 (24 December
2020). Available from
https://www.jpathinformatics.org/text.asp?2020/11/1/40/304779.
4) 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. Journal of Pathology
Informatics [serial online] 2020 [cited 2020 May 7];11:10.
Available from: http://www.jpathinformatics.org/text.asp?2020/11/1/10/281606.
5) *,PStanley RJ, Baur S, Ziegler B. Missouri Instructor Survey Assessment of Project
Lead The Way
Program: A Follow-Up Study. Transactions on Techniques for STEM Education 2019
5(1): 30-48. Published March 2020.
6)
Mishra NK, Kaur
R, Kasmi R, Hagerty JR, LeAnder R, Stanley RJ, Moss
RH, Stoecker WV. Automatic Lesion Border Selection in Dermoscopy
Images using Morphology and Color Features. Skin Research and Technology 2019
25(4):544-552. doi: 10.1111/srt.12685.
7)
Hagerty JR,
Stanley RJ, Almubarak HA, 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. IEEE Journal of Biomedical and Health
Informatics 2019 23(4):1385-1393. doi:
10.1109/JBHI.2019.2891049.
8) Almubarak H, Guo P, *Stanley RJ, Long R, Antani S, Thoma G, Zuna R, Frazier SR, Stoecker WV. A Hybrid Deep
Learning and Handcrafted Feature Approach For Cervical
Cancer Digital Histology Image Classification.
International Journal of Healthcare Information Systems and Informatics
(IJHISI) 2019 (February) 14(2):66-87. doi:10.4018/IJHISI.2019040105.
9) Sornapudi S, *Stanley RJ, Stoecker WV, Almubarak H, Long R, Antani S, Thoma
G, Zuna R, Frazier SR. Deep Learning Nuclei Detection in Digitized Histology
Images by Superpixels. Journal of Pathology
Informatics. 2018 9:5. DOI: 10.4103/jpi.jpi_74_17.
10) *,PStanley RJ, Baur SW. Extended Targeted Academic Performance
Assessments From Missouri University of Science and
Technology Students with Project Lead The Way Course Experience. Transactions
on Techniques for STEM Education 2018 (October-December) 4(1):60-70.
11) *,PBaur SW, Stanley RJ. Assessing Missouri University of Science and Technology Student Academic Performance from 2014-2017 based on Project Lead The Way College Credit Course Experience. Transactions on Techniques for STEM Education 2018 (October-December) 4(1):75-85.
12) *,PStanley RJ, Baur S. Targeted Academic Performance Assessments
From Missouri University of Science And Technology Students with Project Lead The
Way Course Experience. Transactions on Techniques in STEM Education. 2017
(October-December) 3(1):65-76.
13) *,PStanley RJ, Baur S. A
Follow-Up Academic Performance
Assessment of Missouri
University of Science
and Technology Students
with Project Lead
The Way Course Experience. Transactions on
Techniques in STEM Education. 2017 (October-December) 3(1):32-40.
14) Maddala KT, Moss RH, Stoecker WV, Hagerty JR, Cole J, Mishra
NK, Stanley RJ. Adaptable Ring for Vision-Based Measurements and Shape
Analysis. IEEE Transactions on Instrumentation and Measurement. 66(4):746-756,
2017.
15) Almubarak H, *Stanley RJ, Stoecker WV, Moss RH. Fuzzy Color
Clustering for Melanoma Diagnosis in Dermoscopy
Images. Information, Special Issue on Fuzzy Logic. 2017 8(3):89. doi: 10.3390/info8030089.
16) *,PStanley J, Baur S. A Preliminary Academic Performance
Assessment of Missouri University of Science and Technology Students with
Project Lead the Way Course Experience.
Transactions on Techniques in STEM Education. 2017 (January-March);
2(2):21-33.
17) PBaur S,
*Stanley J. Missouri Project Lead The Way Survey Instructor-Based Assessments.
Transactions on Techniques in STEM Education. 2017 (January-March); 2(2):34-43.
18) Guo P, *Stanley RJ, De S,
Long R, Antani S, Thoma GR, Demner-Fushman D, Sornapudi S. Features Advances to
Automatically Find Images for Application to Clinical Decision Support. Medical
Research Archives. 2016 (November); 4(7):1-19.
DOI:
http://dx.doi.org/10.18103/mra.v4i7.
19) Guo P, Almubarak H, Banerjee K, *Stanley RJ, Long R,
Antani S, Thoma G, Zuna R, Frazier SR, Moss RH, Stoecker WV. Enhancements in
Localized Classification for Uterine Cervical Cancer Digital Histology Image
Assessment. Journal of Pathology
Informatics. 2016; 7:51. DOI:10.4103/2153-3539.197193.
20) Kaur R, LeAnder R, Mishra NK, Hagerty JR, Kasmi R,
Stanley RJ, Celebi ME, Stoecker WV. Thresholding Methods for Lesion
Segmentation of Basal Cell Carcinoma in Dermoscopy Images. Skin Research and Technology. 2016 Nov 28; doi: 10.1111/srt.12352. [Epub
ahead of print]
21) *,PStanley RJ and Baur S. Assessing the Impact Of Project Lead
The Way High School Pre-Engineering Curriculum on Missouri University of
Science and Technology Student Academic Experience and Career Choices.
Transactions on Techniques in STEM Education. 2016
(January-March);1(2):101-112.
22) PBaur S
and *Stanley J. Survey-based Assessments for Missouri Project Lead The Way
Instructors. Transactions on Techniques in STEM Education. 2016 (April-June);
1(3):34-41.
23) Guo P, Banerjee K, *Stanley RJ, Long R, Antani S, Thoma G, Zuna R, Frazier SA, Moss RH, Stoecker WV. Nuclei-Based
Features for Uterine Cervical Cancer Histology Image Analysis with Fusion-Based
Classification. IEEE Journal of Biomedical and Health Informatics. 2015
(November); 20(6):1595-1607.
24) Rakov AV, Koledintseva MY, De S, Hinaga S, Drewniak
JL, Stanley RJ. Quantification of Conductor Surface Roughness
Profiles in Printed Circuit Boards. IEEE
Transactions on Electromagnetic Compatibility. 2015;57(2):264-273.
25) De S, *Stanley RJ, Cheng B, Antani S, Long R, Thoma G.
Automatic Text Detection and Recognition in Annotated Biomedical Publication
Images. International Journal of Healthcare Information Systems and Informatics
(IJHISI). 2014;9(2):34-63.
26) Lingala M, *Stanley RJ, Rader RK, Hagerty J, Rabinovitz HS, Oliviero M,
Choudhry I, Stoecker WV. Fuzzy Logic Color Detection: Blue Areas in Melanoma
Dermoscopy Images. Computerized Medical
Imaging and Graphics. 2014;38(5):403-410.
27) De S, *Stanley RJ, Lu C, Long R, Antani S, Thoma G,
Zuna R. A Fusion-Based Approach for Uterine Cervical Cancer Histology Image
Classification. Computerized Medical Imaging and Graphics.
2013;37(7-8):475-487.
28) De S, Gupta K, *Stanley
RJ, Ghasr MT, Zoughi R,
Doering K, Van Aken D, Steffes
G, O’Keefe M, Palmer D. A Comprehensive Multi-Modal NDE Data Fusion Approach
for Failure Assessment in Aircraft Lap-Joint Mimics. IEEE Transactions on
Instrumentation and Measurement. 2013;62(4):814-827.
29) Cheng B, *Stanley RJ,
Stoecker WV, Osterwise CTP, Stricklin SM, Hinton KA,
Moss RH, Oliviero M, Rabinovitz
HS. Automatic Dirt Trail Analysis in Dermoscopy Images. Skin Research and
Technology. 2013;19:e20-26.
30) Cheng B, *Stanley RJ,
Stoecker WV, Stricklin SM, Hinton KA, Nguyen TK, Rader RK, Rabinovitz
HS, Oliviero M, Moss RH. Analysis of Clinical and
Dermoscopic Features for Basal Cell Carcinoma Neural Network Classification.
Skin Research and Technology. 2013;19:e217-e222.
31) Sforza G, Castellano G,
Arika SK, LeAnder RW, *Stanley RJ, Stoecker WV, Hagerty
JR. Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in
Melanoma In Situ Images. IEEE Transactions on Instrumentation and Measurement.
2012;61(7):1839-1847.
32) De S, Gupta K, *Stanley
RJ, Zoughi R, Doering K, Van Aken
D, Steffes G, O’Keefe M, Palmer D. A Comprehensive
Structural Analysis Process for Failure Assessment in Aircraft Lap-Joint Mimics
Using Intra-Modal Fusion of Eddy Current Data.
Research in Nondestructive Evaluation. 2012;23(3):146-170.
33) Cheng B, *Stanley RJ,
Stoecker WV, Hinton K. Automatic Telangiectasia Analysis in Dermoscopy Images
Using Adaptive Critic Design. Skin Research and Technology. 2012;18(4):389-396.
34) Cheng B, *Stanley RJ, De S,
Antani S, Thoma GR. Automatic Detection of Arrow Annotation Overlays in
Biomedical Images. International
Journal of Healthcare Information Systems and Informatics (IJHISI).
2011;6(4):23-41.
35) Cheng B, Erdos D, *Stanley RJ, Stoecker WV, Calcara
D, Gomez D. Automatic Detection of Basal Cell Carcinoma Using
Telangiectasia Analysis in Dermoscopy Skin Lesion Images. Skin Research and Technology.
2011;17(3):278-287.
36)
Stanley
RJ, De S, Demner-Fushman D, Antani S, Thoma GR. An Image Feature-Based Approach
to Automatically Find Images for Application to Clinical Decision Support. Comput. Med. Imaging Graph.
2011;35(5):365-372.
37) Wang H, Moss RH, Chen X,
*Stanley RJ, Stoecker WV, Celebi E, Malters JM, Grichnik JM, Marghoob AA, Rabinovitz HS, Menzies SW, Szalapski
TM. Modified Watershed Technique and Post-Processing for Segmentation of Skin
Lesions in Dermoscopy Images. Computerized Medical Imaging and Graphics,
Special Dermatology Issue. 2011;35(2):116-120.
38) Dalal A, Moss RH, *Stanley RJ,
Stoecker WV, Gupta K, Calcara DA, Xu J, Shrestha B, Drugge R, Malters JM, Perry LA.
Concentric Decile Segmentation Of White And Hypopigmented Areas In Dermoscopy Images Of Skin Lesions Allows Discrimination Of
Malignant Melanoma. Computerized Medical Imaging and Graphics, Special Dermatology
Issue. 2011;35(2):148-154.
39) Stoecker WV, Wronkiewiecz M, Chowdhury R, *Stanley RJ, Xu J, Bangert A, Shrestha B, Calcara
DA, Rabinovitz HS, Oliviero M, Ahmed F, Perry LA, Drugge R. Detection Of Granularity in Dermoscopy Images of
Malignant Melanoma Using Color and Texture Features. Computerized Medical
Imaging and Graphics, Special Dermatology Issue. 2011;35(2):144-147.
40) Wang H, Chen X, Moss RH, *Stanley RJ, Stoecker WV, Celebi ME, Szalapski TM, Malters JM, Grichnik JM, Marghoob AA, Rabinovitz HS, Menzies
SW. Segmentation of Dermoscopy Images Using a Watershed Technique. Skin
Research and Technology. 2010;16(3):378-384.
41) Shrestha B, Bishop J, Kam K, Chen X, Moss RH, Stoecker
WV, Umbaugh S, Stanley RJ, Celebi ME, Marghoob AA, Argenziano G, Soyer HP. Detection of Atypical Texture Features in Early
Melanoma Detection. Skin Research and
Technology. 2010;16(1):60-65.
42) Xu J, Gupta K, Stoecker WV, Krishnamurthy Y, Rabinovitz HS, Bangert A, Calcara D, Oliviero M, Malters JM, Drugge R, *Stanley
RJ, Moss RH, Celebi ME. Analysis of Globule Types in Malignant Melanoma.
Archives of Dermatology. 2009;145(11):1245-1251.
43) Stoecker WV, Gupta K, Shrestha B, Wronkiewiecz
M, Chowdhury R, *Stanley RJ, Xu J, Moss RH, Celebi
ME, Rabinovitz HS, Oliviero
M, Malters JM, Kolm I.
Detection of Basal Cell Carcinoma Using Color and Histogram Measures of
Semitranslucent Areas. Skin Research and Technology. 2009;15(3):283-287.
44) Khan A, Gupta K, *Stanley RJ, Stoecker WV, Moss RH, Argenziano G, Soyer HP, Rabinovitz HS, Cognetta AB. Fuzzy
Logic Techniques for Blotch Feature Evaluation in Dermoscopy Images.
Computerized Medical Imaging and Graphics. 2009;33(1):50-57. One of
the 25 (# 24) most downloaded papers from October-December 2008 from
Computerized Medical Imaging and Graphics.
45) *Stanley RJ, Antani S, Long R, Thoma G, Gupta K, Das
M. Size-Invariant Descriptors for Detecting Regions of Abnormal Growth in
Cervical Vertebrae. Computerized Medical Imaging and Graphics.
2008;32(1):44-52.
46) *Stanley RJ, Stoecker WV, Moss RH,
Rabinovitz HS, Armand B, Argenziano G, Soyer HP. A Basis Function Feature-Based
Approach for Skin Lesion Discrimination in Dermatology Dermoscopy Images. Skin
Research and Technology. 2008;14(4):425–435.
47) *Stanley RJ, Ho KC, Gader P, Wilson JN, Devaney J.
Land Mine and Clutter Object Discrimination Using Wavelet and Time Domain
Spatially Distributed Features From Metal Detector and Their Fusion with GPR
Features for Hand-Held Units. Circuits, Systems and Signal Processing.
2007;26(2):165-191.
48) *Stanley RJ, Stoecker WV, Moss RH. A Relative Color
Approach to Color Discrimination For Malignant Melanoma Detection in Dermoscopy
Images. Skin Research and Technology. 2007;13:62-72.
49) *Stanley RJ, Watkins SE, Moss RH, Gopal A. Traffic
Monitoring Using a Three-Dimensional Object Tracking Approach. International
Journal of Engineering Education 2006;22(4):886-895.
50) Stoecker WV, Gupta K, *Stanley RJ, Moss RH, Shrestha
B. Detection of Asymmetric Blotches (Asymmetric Structureless Areas) in Dermoscopy Images of Malignant Melanoma Using Relative
Color. Skin Research and Technology. 2005;11:179-184.
51) Chang Y, *Stanley RJ, Moss RH, Stoecker WV. A
Systematic Heuristic Approach for Feature Selection for Melanoma Discrimination
Using Clinical Images. Skin Research and Technology. 2005;10:165-178.
52) Erkol B, Moss RH, *Stanley RJ, Stoecker WV, Hvatum E.
Automatic Lesion Boundary Detection In Dermoscopy Images Using Gradient Vector
Flow Snakes. Skin Research and Technology. 2005;11(1):17-26.
53) *Stanley RJ, Watkins SE, Moss RH. The Integration of
Real-World Problems Into Image Processing Curriculum. International Journal of
Engineering Education. 2005;21(2):318-326.
54) Cherukuri M, *Stanley RJ, Long R, Antani S, Thoma G. Anterior
Osteophyte Discrimination in Lumbar Vertebrae Using Size-Invariant Features.
Computerized Medical Imaging and Graphics. 2004;28:99-108.
55) Chamarthy P, *Stanley RJ, Long R, Antani S, Thoma G. Image
Analysis Techniques for Characterizing Disc Space Narrowing in Cervical
Vertebrae Interfaces. Computerized Medical Imaging and Graphics. 2004;28:39-50.
56) Beetner D, *Stanley RJ, Agarwal S, Somasundaram DR, Nema K, Mantha B. Landmine
Detection And Discrimination Using High-Pressure Waterjets. EURASIP Journal of
Applied Signal Processing. 2004;13:1973-1984.
57) *Stanley RJ, Agarwal S, Somanchi
S. The Impact of False Alarm Mitigation on Surface Landmine Detection in MWIR
Imagery. Pattern Analysis and Applications. 2004;7:26-39.
58) *Stanley RJ, Watkins SE, Gopal A, Moss RH. A
Web-Sharable Real-World Imaging Problem for Enhancing an Image Processing
Curriculum. IEEE Transactions on Education. 2004;47(2):211-219.
59) Faziloglu Y, *Stanley RJ, Moss RH, Stoecker WV, McLean RP.
Color Histogram Analysis for Melanoma Discrimination in Clinical Images. Skin
Research and Technology. 2003;9:147-155.
60) Chen J, *Stanley R, Moss RH, Stoecker WV. Color
Analysis of Skin Lesion Regions for Melanoma Discrimination in Clinical Images.
Skin Research and Technology. 2003;9:94-104.
61) *Stanley RJ, Moss RH, Stoecker WV, Aggarwal C. A
Fuzzy-Based Histogram Analysis Technique for Skin Lesion Discrimination in
Dermatology Clinical Images. Computerized Medical Imaging and Graphics. 2003;27:387-396. One
of the 20 most downloaded papers in 2003 from Computerized Medical Imaging and
Graphics.
62) *Stanley RJ, Gader P, Ho D. Feature and Decision Level
Sensor Fusion of Electromagnetic Induction and Ground Penetrating Radar Sensors
for Landmine Detection with Hand-Held Units. Information Fusion.
2002;3(3):215-223. One of the 25 most downloaded papers in 2003 from Information Fusion.
63) Popescu M, Gader PD, Keller
JM, Klein C, Stanley J, Caldwell C. Automatic Karyotyping of Metaphase Cells
with Overlapping Chromosomes. Computers in Biology and Medicine.
1999;29(1):61-82.
64) *Stanley RJ, Keller J, Gader P, Caldwell CW. Homologue
Matching Applications: Recognition of Overlapped Chromosomes. Pattern Analysis
and Applications. 1998;1(4):206-217.
65) *Stanley RJ, Keller J, Gader P, Caldwell CW,
Data-Driven Homologue Matching for Chromosome Identification. IEEE Transactions
on Medical Imaging. 1998;17(3):451-462.
Note:
An * denotes that Dr. Stanley was a primary contributor for the paper.
1) Almubarak H, Stanley RJ, Long R, Antani S, Thoma
G, Zuna R, Frazier S. Convolutional Neural Network Based Localized
Classification of Uterine Cervical Cancer Digital Histology Images. Accepted for publication in the Proceedings
of the Conference for Complex Adaptive Systems: Engineering Cyber Physical
Systems, Chicago, IL, October 30-November 1, 2017.
2) Stanley RJ, Baur S. A
Preliminary Academic Performance
Assessment Of Missouri
University Of Science and
Technology Students With
Project Lead The Way Course
Experience. Accepted for publication in
the Proceedings of the ASEE Midwest Section Conference, Stillwater, OK,
September 24-26, 2017.
3) Baur S, Stanley RJ. Overall Academic Performance
Assessments from Missouri University of Science and Technology Students with
Project Lead The Way Course Experience. Accepted for
publication in the Proceedings of the ASEE Midwest Section Conference,
Stillwater, OK, September 24-26, 2017.
4) Edulapuram R, Stanley RJ, Long R,
Antani S, Thoma G, Zuna R, Stoecker WV, Hagerty JR. Nuclei Segmentation Using
Level Set Method and Fuzzy C-Means Clustering.
Proceedings of the 12th
International Conference on Computer Vision Theory and Applications (VISAPP
2017), Porto, Portugal, February 27-March 1, 2017. Porto, Portugal, 2017. In
press.
5) Stanley RJ, Baur S. Assessing Missouri University of
Science and Technology Student Academic Experience and Career Choices with and
without Project Lead The Way Course Experience. Accepted for publication at the
ASEE Midwest Section Conference, Manhattan, KS, September 25-27, 2016.
6) Stanley RJ, Baur S. Missouri Project Lead The Way
Survey Instructor Survey-based Assessments. Accepted for publication Presented
at the ASEE Midwest Section Conference, Manhattan, KS, September 25-27, 2016.
7) Damti SM, Watkins SE, Stanley RJ.
Comparison of Binary and Multi-Level Logic Electronics for Embedded Systems.
Proceedings of the SPIE Conference in Smart
Structures and Materials/NDE 2016: Industrial and Commercial Applications of
Smart Structures Technologies X, Las Vegas, NV. March 2016: 9801, pp. 20-24.
8)
Stanley
J and Baur S. Evaluation of High School Pre-Engineering Curricula Through
Missouri University of Science and Technology Student Survey Responses.
Proceedings of the American Society of Engineering Education Zone III Meeting,
Springfield, MO, September 23-25, 2015 (https://www.asee.org/papers-and-publications/papers/zone-proceedings/zone3/2015-meeting).
9)
PBaur S and Stanley J. Missouri Instructor Survey Assessment of Project Lead The
Way Program.
Proceedings of the American Society of Engineering Education Zone III Meeting,
Springfield, MO, September 23-25, 2015 (https://www.asee.org/papers-and-publications/papers/zone-proceedings/zone3/2015-meeting).
10)
Stoecker
WV, Mishra N, LeAnder RW, Rader RK, Stanley RJ.
Automatic Detection of Skin Cancer: Current Status, Path For The Future.
Proceedings of the International Conference on Computer Vision Theory and
Applications, Barcelona, Spain, February 2013: pp. 504-508.
11)
Cheng
B, Stanley RJ, Antani S, Thoma GR. Graphical Figure Classification Using Data
Fusion for Integrating Text and Image Features. Proceedings of the 12th
International Conference on Document Analysis and Recognition (ICDAR),
Washington, DC, August 2013: pp. 693-697.
12)
De
S, Gafarov A, Koledintseva
MY, Stanley J, Drewniak JL, Hinaga
S. Semi-Automatic Copper Foil Surface Roughness Detection From PCB Microsection
Images. Proceedings of the IEEE
International Symposium on Electromagnetic
Compatibility (EMC), Pittsburgh, PA. August 2012: pp. 132-137.
13) Cheng B, Wang R, Antani S, Stanley RJ, Thoma GR.
Graphical Image Classification Using a Hybrid of Combining an Evolutionary
Algorithm and Binary Particle Swarm Optimization. Proc. 24th Annual Symposium
on Electronic Imaging, Document Recognition and Retrieval XIX, San Francisco,
CA. January 2012: vol. 8297, pp. 1-8.
14)
Sforza
G, Castellano G, Stanley RJ, Stoecker WV, Hagerty J. Adaptive Segmentation of
Gray Areas in Dermoscopy Images. Proceedings of the IEEE International Symposium
on Medical Measurements and Applications (MeMeA
2011), Bari, Italy. May 2011: pp. 628-631.
15)
Cheng
B, Antani S, Stanley RJ. Automatic Segmentation of Subfigure Image Panels for
Multimodal Biomedical Document Retrieval. Proceedings of the SPIE Electronic
Image Conference, San Francisco, CA. January 2011: vol. 7874, pp. z-1-11.
16)
Cheng
B, Stanley RJ, Stoecker WV, T. Szalapski, G.K. Veneyagamoorthy, H. Wang. A Hybrid Computational
Intelligence Algorithm for Automatic Skin Lesion Segmentation in Dermoscopy
Images. Proceedings of the Artificial Neural Networks in Engineering Conference
(ANNIE 2010), St. Louis, MO. October 2010: vol. 20, pp. 379-386.
17)
Cheng
B, Stanley RJ, Antani S, G.R. Thoma. A Novel Computational Intelligence-Based
Approach for Medical Image Artifacts Detection. Proceedings of the
International Conference on Artificial Intelligence and Pattern Recognition,
Orlando, FL. July 2010: pp. 113-120.
18) De S, Gupta K, Stanley RJ, G. Steffes,
D. Palmer, Zoughi R. A Data Fusion Based Approach for Evaluation of Material
Loss in Corroded Aluminum Panels. Proceedings of the Twelfth International IEEE
Conference on Intelligent Transportation Systems,
St. Louis, MO. October 2009: pp. 444-449.
19) Watkins SE, Stanley RJ, Gopal A, Moss RH. Surveillance
of Pedestrian Bridge Traffic Using Neural Networks. Proceedings of SPIE,
Sensors and Smart Structures Technologies for Civil, Mechanical and Aerospace
Systems, San Diego, CA. March 9-12, 2009: vol. 7292, pp. 72922Q-72922Q-12,.
20) Seetharaman S, Stanley RJ, De S, Antani S, Long R,
Thoma G. Live Wire Segmentation Tool for Osteophyte Detection in Lumbar Spine
X-Ray Images. Proceedings of the
International Conference on Emerging Trends in Engineering and Technology,
Nagpur, India. July 2008: pp. 715-721.
21) Simsek S, Wilkerson RW, Stanley RJ. Detecting Insider
Threats with Machine Learning Algorithms. Proceedings of IADIS European
Conference on Data Mining, Lisbon, Portugal. July 2007: pp. 150-154.
22) Gupta K, Stanley RJ, Ghasr
MT, Kharkovsky S, Zoughi R,
G. Steffes. Fusion of Multimodal NDE Data for
Improved Corrosion Detection. Proceedings of ICONIC, pp. 407-412, St. Louis,
MO, June 2007.
23) Gupta K, Ghasr MT, Kharkovsky S, Zoughi R, Stanley
RJ, A. Padwal, M. O’Keefe, D. Palmer, J. Blackshire,
G. Steffes, N. Wood. Fusion of Microwave and Eddy Current Data for a Multi-Modal Approach in
Evaluating Corrosion Under Paint and in Lap Joints. Proceedings of the Thirty-Third Annual
Review of the Quantitative Nondestructive Evaluation Conference,
Portland, Oregon, July 31- August 5, 2006: vol. 26A, pp. 611-618.
24) Dua R, Seiffertt JE, Blaha
B, Gupta K, Satagopan V, Stanley RJ, Beetner D,
Wunsch DC. Hands-On Projects and
Exercises to Strengthen Understanding of Basic Computer Engineering Concepts.
Proceedings of the 2005 ASEE Annual Conference, Portland, OR. June 2005.
25) Stanley RJ, Seetharaman S, Downey E, Long R, Antani S,
Thoma G. Image Analysis Techniques for the Automated Evaluation Of Subaxial Subluxation in Cervical Spine X-Ray Images.
Proceedings of the Seventeenth IEEE Symposium on Computer-based Medical
Systems. June 2004: pp. 204-209.
26) Stanley J, Ho KC, Gader P, Wilson J, Devaney J.
Advances in EMI and GPR Algorithms in Discrimination Mode Processing for
Handheld Landmine Detectors. Proceedings of SPIE, Detection and Remediation Technologies
for Mines and Minelike Tartgets
IX, Orlando, FL. April 2004: vol. 5415, pp. 874-882.
27) Wilson JN, Gader PD, Ho KC, Lee W-H, Stanley RJ, Glenn
TC. Region Processing of Ground Penetrating Radar and Electromagnetic Induction
for Handheld Landmine Detection.
Proceedings of SPIE, Detection and Remediation Technologies for Mines
and Minelike Tartgets IX,
Orlando, FL. April 2004: vol. 5415, pp. 933-944.
28) Antani S, Long LR, Thoma GR, Stanley RJ. Vertebra
Shape Classification Using MLP for Content-Based Image Retrieval. Proceedings
of the International Joint Conference on Neural Networks (IJCNN), Portland, OR.
July 2003: pp. 160-165.
29) Stanley RJ, Gattapulli M, Caldwell CW.
Microarray Image Spot Segmentation Using the Method of Projections. Proceedings
of the 39th Annual Rocky Mountain Bioengineering Symposium, Copper Mountain, CO. April 2002: vol.
38, pp. 387-392.
30) Pandit A, Stanley RJ, McMillin B. An Integrated
Pattern Recognition Approach for Intrusion Detection. Proceedings of the 39th
Annual Rocky Mountain Bioengineering Symposium, Copper Mountain, CO. April 2002: vol. 38, pp. 447-452.
31) Rodrigues SB, Stanley RJ, Caldwell CW, Gader PD.
Dynamic Programming-Based Approach to Microarray Image Registration.
Proceedings of SPIE, Hybrid Image and Signal Processing VIII, Orlando, FL.
April 2002: vol. 4735, pp. 79-87.
32) Stanley RJ, Chamarthy PK,
Agarwal S, Mitchell OR. Surface Landmine Detection in Airborne Images Using the
Circular Harmonics Transform. Proceedings of SPIE, Detection and Remediation Technologies
for Mines and Minelike Targets VII, Orlando, FL.
April 2002: vol. 4742, pp. 150-159.
33) Stanley RJ, Somanchi S, Gader PD. Impact of Weighted Density Distribution Function
Features on Landmine Detection Using Hand-Held Units. Proceedings of SPIE, Detection and
Remediation Technologies for Mines and Minelike
Targets VII, Orlando, FL. April 2002: vol.4742, pp. 892-902.
34) Stanley RJ, Keller JM, Caldwell CW, Gader P. Abnormal
Cell Detection Using the Choquet Integral.
Proceedings of the IFSA/NAFIPS 2001 Conference, Vancouver, Canada. July 2001:
pp. 1134-1139.
35) Stanley RJ, Long R. A Radius of Curvature-Based
Approach to Cervical Spine Vertebra Image Analysis. Proceedings of the 38th
Annual Rocky Mountain Bioengineering Symposium, Copper Mountain, CO. April
2001: vol. 37, pp. 385-390.
36) Stanley RJ, Thera-Umpon N, Gader P, Somanchi S, Ho D.
Detecting Landmines Using Weighted Density Distribution Function Features.
Proceedings of SPIE, Signal Processing, Sensor Fusion and Target Recognition X,
Orlando, FL. April 2001: vol. 4380, pp. 135-141.
37) Agarwal S, Chander VS, Palit PP, Stanley J, Mitchell OR. Sensor Fusion for
Hand-Held Multi-Sensor Landmine Detection. Proceedings of SPIE, Detection and
Remediation Technologies for Mines and Minelike Targets
VI, Orlando, FL. April 2001: vol. 4394,
no. 2, pp. 991-1002.
38) Stanley RJ, Keller J, Gader P, Caldwell CW. Homologue
Matching Using the Choquet Integral. Proceedings of
the 36th Rocky Mountain Bioengineering Symposium, Copper Mountain,
CO. April 1998: vol. 34, pp. 315-320.
39) Stanley RJ, Keller J, Caldwell CW, Gader P. The
Effects of Image Manipulation on Automated Karyotyping. Proceedings of the 35th
Rocky Mountain Bioengineering Symposium, Dayton, OH. April 1997: vol. 33, pp.
305-310. First Place, Student Paper
Competition.
40) Stanley RJ, Keller J, Caldwell CW, Gader P. Centromere
Attribute Integration Based Chromosome Polarity Assignment. Proceedings of the
American Medical Informatics Association Annual Fall Symposium, Washington, DC.
October 1996: vol. 3(supplement), pp. 284-288. Second Place, Student Paper Competition.
41) Stanley RJ, Keller J, Caldwell CW, Gader P. A
Centromere Attribute Integration Approach to Centromere Identification.
Proceedings of the 34th Rocky Mountain Bioengineering Symposium, Colorado
Springs, CO. April 1996: vol. 32, pp. 23-29.
42) Stanley RJ, Keller J, Caldwell CW, Gader P. Automated
Chromosome Classification Limitations Due to Image Processing. Proceedings of
the 33rd Rocky Mountain Bioengineering Symposium, Copper Mountain,
CO. April 1995: vol. 31, pp. 183-188.
BOOK
CHAPTER
OTHER
PUBLISHED PAPERS
·
Stanley RJ, Baur
S, Yates B. Project Lead The Way: A STEM Program for Electrical and Computer Engineering
Students. IEEE-HKN: The Bridge. Outreach and Impact. 2017;113(1):17-22.
·
Stanley RJ. An Overview of Data Fusion Methods and
Applications. Proceedings of a Workshop on Material State Awareness, National
Materials Advisory Board Division on Engineer and Physical Sciences, National
Research Council of the National Academies, pp. 37-38, 2008. Invited paper.
·
Stoecker
WV, Stanley RJ, Khan A, Moss RH, Shrestha B. Fuzzy Logic Applied to
Discrimination Of Melanoma In Situ Vs. Dysplastic Nevi. [abstract] Dermatology, vol. 212, pp. 294-295,
2006. Peer reviewed.
·
Stanley RJ,
Keller J. Computer Vision Procedures for Medical Imaging. Missouri Medicine. 1994;91(5):230-231. Invited paper.
·
Gupta K, Stanley RJ, De S. Malignant Melanoma
Discrimination Using Globule Descriptors.
Kriti 2008 (IEEE Co-Sponsored), G.H. Raisoni
College of Engineering, Nagpur, India. Student paper competition won by De S.