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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Welcome to my Website Portfolio!
About me
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Portfolio item number 2
Short description of portfolio item number 2 
Posts
experience
Teaching experience 1
Published:
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Published:
This is a description of a teaching experience. You can use markdown like any other post.
extracurricular
Michigan Eco Data
I founded Michigan Eco Data for members to their passion in computing and data-driven discovery to solve environmental problems. We are currently a sponsored student organization with 40 active members. 
DJs A Cappella
I sing and perform in DJ’s A Cappella, a student a cappella group in the Univeristy of Michigan. Beyond being an amazing opportunity, they have truly become a second family. 
Michigan Climbing Club
I love Rock Climbing and I am a member of the climbing club at the University of Michigan. From being previously overweight, climbing has truly helped my health as well as allowed me to express joy as an athelete. 
posts
projects
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
research
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system
Published:
Primary Author - My research found that ML linear discriminant analysis was statistiscally significant in sorting bladder cancer staging determining different treatment avenues.
Recommended citation: Dhanuj Gandikota, Lubomir Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, and Chuan Zhou "Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system", Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105752B (27 February 2018); https://doi.org/10.1117/12.2295013
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system
Published:
Primary Author - My research found that the use of decision threholds with multiple ML classifiers [LDA, BPNN, RAF, SVM] in our diagnosis system accurately diagnosed bladder cancer stages
Recommended citation: Dhanuj Gandikota, Lubomir Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ravi Samala, Elaine M. Caoili, Richard H. Cohan, Alon Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, and Chuan Zhou "Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system", Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500W (13 March 2019); https://doi.org/10.1117/12.2513566
Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation
Published:
My research/code was ustilized as a secondary author in the implementation of a Neural Network in feature detecion of bladder cancer staging
Recommended citation: Daniel Hoklai Chapman-Sung, Lubomir Hadjiiski, Dhanuj Gandikota, Heang-Ping Chan, Ravi Samala, Elaine M. Caoili, Richard H. Cohan, Alon Weizer, Ajjai Alva, and Chuan Zhou "Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113141T (16 March 2020); https://doi.org/10.1117/12.2551309
Density-Based Spatial Clustering to Identify Similar Species as a Signature of Coexistence under Competition
Published:
I am currently working on a paper in which I am developing an R package for Unsupervised ML Biological Trait Density Clustering using a recent clustering algorithm from 2018 research and a Density Based Cross Validatiion metric from 2016 research
Recommended citation: https://sites.google.com/umich.edu/ostlinglab/people?authuser=0 https://github.com/DhanujG/-R-Package-Biological-Ecological-Density-Clustering