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COMPUTER AIDED DIAGNOSIS

At Siemens I design machine learning algorithms for several commercially deployed computer aided diagnosis products that automatically identify early stage cancer of the lung, colon, and breast based on X-ray, CT, and MRI images.

PUBLICATIONS

Lung Nodule Detection Luca Bogoni, Jinbo Bi, Charles Florin, Anna K. Jerebko, Arun Krishnan, Sangmin Park, Vikas C. Raykar, and Marcos Salganicoff, Book Chapter in   ImageCLEF: Experimental Evaluation in Visual Information Retrieval, 2010, Volume 32, Part 3, pp 415-434, Springer Berlin Heidelberg. [abstract] [paper] [bib]

A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides  Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit Jain, Olcay Sertel, and Metin Gurcan, Proceedings of 20th International Conference on Pattern Recognition [preprint] [bib] [acceptance rate 18%] [Best Scientific Paper Award in Bioinformatics and Biomedical Applications Track]

Mining Medical Images  R. Bharat Rao, Glenn Fung,  Balaji Krishnapuram,  Jinbo Bi,  Murat Dundar, Vikas C. Raykar, Shipeng Yu,  Sriram Krishnan, Xiang Zhou, Arun Krishnan, Marcos Salganicoff, Luca Bogoni, Matthias Wolf, Anna Jerebko, and Jonathan Stoeckel, In Proceedings of the Third Workshop on Data Mining Case Studies and Practice Prize, Fifteenth Annual SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, June 2009.  [paper[slides] [bib] [First place prize winner]

Multiple instance learning improves CAD detection of masses in digital mammography Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna stainvas, Menahem Abramov, and Alexandra Manevitch, In Proceedings of the 9th international workshop on Digital Mammography (IWDM 2008), pp.350-357, Tucson, AZ, July 2008.  [paper] [slides] [bib] [oral presentation]

Polyhedral Classifier for Target Detection A Case Study: Colorectal Cancer Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, and Vikas C. Raykar, In Proceedings of the 25th International Conference on Machine Learning (ICML 2008), pp.288-295, Helsinki, July 2008.  [paper] [slides] [bib]

CT colonography: Retrospective evaluation of the performance of computer-aided detection of colonic polyps in tagged and untagged preparation  T. Mang, L. Bogoni, M. Salganicoff, M. Wolf, V. Raykar, M. Macari, and A. Graser, In the annual meeting of the European Congress of Radiology (ECR), March 2010.
[abstract]
[proceedings 

Effect of a concurrent virtual dissection with CAD for CTC interpretation: A multi-reader study evaluating  accuracy and interpretation times A.A. Ahmad, M. Macari, K.C. Cho, J.A. Bonavita, E. Robinson, L. Bogoni, M. Salganicoff, M. Wolf, and V. Raykar, In the annual meeting of the European Congress of Radiology (ECR), March 2010. [abstract] [proceedings

Assessment of Computer-aided Nodule Detection (CAD) Algorithm on Pathology Proved CT Data Sets  Vikas C. Raykar, Sangmin Park, Tae Jung Kim, Vikas C. Raykar, Vikram Anand, Maneesh Dewan, and Anna Jerebko, In Radiological Society of North America scientific assembly and annual meeting program (RSNA 2008), November 2008.  [abstract] [oral presentation] 



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