People
Daniel L. Rubin, M.D., M.S.
Assistant Professor of Radiology
Member, Stanford Cancer Center; Member, Bio-X
Daniel Rubin is Assistant Professor in the Department of Radiology at Stanford University. Work in the lab lies at the intersection of biomedical informatics and imaging science. His NIH-funded research program focuses on developing informatics methods of knowledge representation, natural language processing, and decision support to improve the quality and consistency of radiology practice. Major projects include (1) developing methods to extract information and meaning from images for data mining, (2) developing statistical natural language processing methods to extract and summarize information in radiology reports and published articles, (3) resources to integrate images with related clinical and molecular data to discover novel image biomarkers of disease, and (4) translating these methods into practice by creating decision support applications that relate radiology findings to diagnoses and that will improve diagnostic accuracy and clinical effectiveness.
Qiang Chen
Graduate Student – Computer Science
Qiang Chen received his B.Sc. degree in computer science and Ph.D. degree in Pattern Recognition and Intelligence System from Nanjing University of Science and Technology, China, in 2002 and 2007, respectively. Currently, he is an associate professor with the School of Computer Science and Technology at the Nanjing University of Science and Technology. His main research interests are image segmentation, object tracking, image restoration, image enhancement, and image quality assement.
Irene Liu
Radiology Resident
Irene received her MD and PhD at Stanford. Her PhD is in biomedical informatics, and she is interested in creating decision support applications to improve the consistency in radiology interpretation. She is developing Bayesian Network models of thyroid imaging to help radiologists evaluate thyroid nodules and improve decision making about when to biopsy these lesions.
Stephanie Chan
Radiology Resident
Stephanie received her MD from Stanford and is currently a radiology resident at UCSF. She is interested in creating models to help physicians integrate diverse data in decision making. She is currently developing a probabilistic model of breast imaging that incorporates the results of biopsy to help radiologists evaluate whether negative biopsy is due to sampling error.
Jiajing Xu
Doctoral Student - Electrical Engineering
Jiajing Xu is a PhD student in the Department of Electrical Engineering at Stanford University. His research interests include machine learning and content-based image retrieval for medical applications. He received his bachelor's and master's degree in EE from California Institute of Technology and Stanford University in 2006 and 2008. He is working on methods for content-based image retrieval (CBIR) in radiology for decision support, automated segmentation, and computerized methods to evaluate temporal imaging studies to quantify tumor response to treatment.
Francisco Gimenez
Graduate Student - Biomedical Informatics
Francisco Gimenez is a Ph.D. student in Biomedical Informatics. He received his B.S. in Electrical Engineering and Computer Sciences at UC Berkeley, and was a researcher at UCSF for 2 years. He is interested in providing decision support for radiologists using methods in computer vision, natural language processing, and machine learning. His current projects are focused on developing validation systems for radiological reporting to increase accuracy and reproducibility.
.
Hakan Bulu
Doctoral Student - Computer Engineering
Hakan recieved his M.Sc. degree in computer engineering from 9 Eylul University, Turkey in 2007. Currently, he is a Ph.D. student, and a Research Assistant at the same department. He is working on developing an ontology based medical image annotation and retrieval system for mammographic examinations. In this way, he aims to make possible case-based retrieval for mammography.
Mustafa Safdari
Graduate Student - Computer Science
Mustafa has a Bachelor's in Computer Science from Birla Institute of Technology and Science - Goa Campus. At Stanford, he is pursuing Master's in Computer Science in the Artificial Intelligence Track. His areas of interest include probabilistic topic models, and his current work includes implementing these models for classification and semantic searching in images.
Raghav Pasari
Graduate Student - Computer Science
Raghav Pasari received his B. Tech in Information Technology from Indian Institute of Information Technology, Allahabad. Currently he is a first year Masters student in the Computer Science program at Stanford. He has worked as a intern at Google India for about 5 months and will be interning at eBay San Jose this summer. Currently he is working on liver lesion classification and detection using a novel visual dictionary of words approach. His interests include Image Processing and application of Machine Learning approaches to solve biomedical problems.
Witi Sachchamarga
Graduate Student - Management Science & Engineering
Witi is a Ph.D. student in Management Science & Engineering at Stanford University. He received his BS in Mechanical Engineering and his MS in Industrial and System Engineering from Texas A&M University. His research interests are in decision and risk analysis, probabilistic modeling and artificial intelligence. He is currently researching how to aggregate a number of expert opinions (network structure, probability and evidence) for decision support systems in medical diagnostic domains.
Lior Weizman
Graduate Student - Computer Science
Lior Weizman received his B.Sc and M.Sc. degrees in Electrical Engineering from the Ben-Gurion University of the Negev, Israel in 2002 and 2004, respectively. He is currently a Ph.D. student in the School of Engineering and Computer Science in the Hebrew University of Jerusalem, and a summer intern at Stanford University. His main research interests are image segmentation, biomedical image processing and statistical signal processing.
Ihsan Djomehri
Medical Student
Ihsan received the BA in physics and BS in electrical engineering from UC Berkeley, and the MS and then PhD in electrical engineering from MIT. He has worked on both experimental development and computational physics research of nanotechnology devices and imaging. Now as a medical student at Stanford University, he is interested in bioinformatics and using the semantic web for radiology decision support of focal liver disease as an example.
Aaron Abajian
Medical Student
Aaron is a medical student at Yale University. He earned a B.S. in Computer Science & Engineering, a B.S. in Mathematics, and a B.S. in Biological Sciences from the University of California, Irvine. He spent two years following graduation as a full-time high school chemistry teacher as part of Teach for America. He previously worked as a PACS software engineer with Candelis, Inc. His research interests include the development of automated algorithms for the segmentation and extraction of metadata from solid tumor images. His current project entails the comparative analysis of novel response to treatment criteria.
Dana Yeo
College Student
Dana Yeo is currently a Sophomore at Stanford University majoring in BioMedical Computation. She is interested in increasing the efficacy and precision of medical diagnostics using computational methods. Her previous research project focused on using zinc finger technology to target the sickle cell mutation in patient-derived IPS lines. In her spare time she enjoys a pint of green tea ice cream and a good game of Settlers of Catan.
Allika Walvekar
College Student
Allika Walvekar is an undergraduate at Caltech. She is interested in electronic encoding of medical knoweledge, and she is working on building a prototype decision support system that will use the knowledge in the Semantic Media wiki to help doctors access current medical knowledge more effectively to make the best diagnostic decisions.
Pooja Naik
Undergraduate Student
Pooja Naik is a pre-final year student at Birla Institute of Technology and Science, Pilani- Goa Campus pursuing Msc (Tech.) Information Systems. Her research interests include Artificial Intelligence, Quantitative Imaging and Decision Support. She is currently working on using DCE-MRI to discover imaging biomarkers that predict response to PARP inhibitor therapy in Triple Negative Breast Cancer.
Alan Snyder
Scientific Research Developer
Alan Snyder received his Bachelors from the University of Illinois in Engineering Physics. He previously did lithography research for Intel, where patented work related to phase-shifted reticles. Since then he has been a software developer working at start-ups, working on distributing video in the Internet. He has worked at worked at Live365, Macrovision, Azureus/Vuze among others. At Macrovision he received a patent for "Techniques for Watermarking and Distributing Content" using a peer-to-peer network protocol. While at Azureus he wrote the Network Monitor plug-in, which is used to determine which ISP is throttling connections, in addition to working on the client and writing the data-center management applications. Alan is currently working on the ePad project using the latest features of HTML5 for semantically annotating medical images for clinical and research purposes.
Daniel Korenblum
Scientific Research Developer
Daniel Korenblum obtained a B.A. in Biochemistry and Molecular Biology (BMB) from Reed College, an M.S. in Biophysics from Cornell University, and an M.S. in Computational and Mathematical Engineering at Stanford University. His interests include biomedical image and signal processing, biomedical informatics, molecular modeling, and computational biophysics. Daniel is part of the Image Feature effort of the Information Science in Imaging at Stanford (ISIS) group. He is the primary architect and developer of the biomedical image metadata manager (BIMM) and co-developer of the Aim Template Manager (pre-release version only) applications. He is also working at Genia Technologies Inc., developing protein nanopore single-molecule measurement devices.
Rohan Bansal
Princeton Student
Rohan Bansal is currently a junior at Princeton University. He is a pre-medical Computer Science major. His major interests lie in imaging and its uses in medicine, as well as other computer-science related technologies in medicine. He is working to create distinguish and split regions in an MRI to subregions and superpixels. His previous and current research includes peak-picking and analyzing mass spectrometry data, and creating a user friendly viewer for the plasmodium genome based off of PlasmDB.
Krithin Sitaram
Princeton Student
Krithin Sitaram is a undergraduate student at Princeton interested in Natural Language Processing.
Michael Shah
College Student
Michael Shah is an undergraduate at The Ohio State University studying Computer Science Engineering with interests in visualization. He is involved with a research project at The Oregon Health and Sciences University in tracking and visualizing the motion of tumors on the lung. The project will help radiation therapists better create radiation treatment plans for accurately targeting tumors in motion on the lung. Michael is also currently involved in volume visualizations with The Ohio Supercomputer Center developing a simulator to train future veterinarian surgeons in performing a dog knee arthroscopy.
Ichiro Ikuta, MD
Fellow and Masters Student
Ichiro Ikuta earned his B.S. in physiology and B.A. in Spanish from Michigan State University, M.D. at SUNY Upstate Medical University, and did a transitional year internship at Columbia University/Mary Imogene Bassett Hospital. He is currently a fellow at Brigham and Women's Hospital in the Center for Evidence-Based Imaging, working on a masters in biomedical informatics from Harvard Medical School. His research interests are the development of decision support for neuroradiology, critical care/pulmonary re-evaluations, and patient radiation exposures from medical imaging.
Mohamed Muthiullah, MD
Clinical Assistant Professor of Cardiology and Masters Student
IcMohamed Muthiullah earned his M.B.B.S. from the Madras Medical College,The Tamil Nadu Dr.MGR Medical University,Chennai in 2000.Subsequently he completed his residency in Internal Medicine and Fellowship in Cardiovascular Medicine from the same University in 2007.After three years of clinical cardiology experience in non academic tertiary level medical centers,he is now a clinical assistant professor of Cardiology at Sri Ramchandra Medical College Hospital and Research Institute / Sri Ramachandra Hospital-Sri Ramachandra University,Chennai since November 2010.His subspecialization in cardiovascular Imaging is underway and he is also a part time student of Masters in Information Systems and Technology at the University of Liverpool.His interest areas are Image processing,Image compression,Image distribution,Connectivity-IT Infrastructure and Computer aided diagnosis.
Bao Do
Clinical Instructor
Bao is interested in leveraging radiology image and report data to drive discovery and improve patient care. He is currently developing natural language processing methods to detect uncertainty in radiology reports and to extract findings. He has developed a searchable database of radiology reports.
Kelly Englese
Administrative Assistant
Kelly Englese is an Administrative Assistant for the Department of Radiology.
Mia Levy
Former Graduate Student in Biomedical Informatics
Mia Levy received her PhD in Biomedical Informatics at Stanford in 2010. She is currently Assistant Professor in Biomedical Informatics and Medicine at Vanderbilt University and Cancer Clinical Informatics Officer at Vanderbilt Ingram Cancer Center. Her dissertation was entitled "Rule-Based Response Assessment Framework" in which she developed generalizable methods of representing treatment response to disease. She continues to collaborate with our laboratory in developing methods for using quantitative imaging to evaluate cancer treatment response and tool development to automate these tasks.
Neeraj Agrawal
Graduate Student - Computer Science
Neeraj received a bachelor's degree in computer science from the Indian Institute of Technology Roorkee. He is currently working on image analysis to characterize liver legions for content based image retrieval in radiology.
Ankit Gupta
Graduate Student – Computer Science
Ankit received a bachelor's degree in computer science from the Indian Institute of Information Technology and is completing a masters in Computer Science at Stanford. While in the lab, he worked on image analysis to characterize the margin of lesions for content based image retrieval in radiology. He produced a manuscript on his work and accepted submissions to major meetings.
Cesar Rodriguez
Research Programmer
Cesar received his bachelor’s degree in Biological Science from Florida State University and his MD from Howard University College of Medicine. He created the initial version of iPAD, an application to use ontologies to annotate radiology images to make the semantic content machine-accessible. While he has now moved on to puruse systems biology, he continues to remain engaged in the iPAD project to support its continued development.
Katie Hsih
College Student
Katie Hsih received her BSE degree Operations Research & Financial Engineering from Princeton University in 2010. She is interested in a multidisciplinary approach to medical problems and global health policy. Katie currently running a pilot study for iPAD, a computerized tool for annotation of radiological images.
Meeta Arora
Graduate Student - Management Science & Engineering
Meeta is pursuing her Master's in Management Science and Engineering at Stanford University. Prior to this, she received her undergraduate degree in Computer Engineering from Mumbai University and worked as a Software Engineer developing web applications. She is developing Web-based applications to enable viewing large pre-coordinated terminologies for radiology and to create integrated data warehouses linking clinical data (through the I2B2 platform) to radiology data (in BIMM).
Brett Lullo
College Student
Brett Lullo is a senior at Princeton University where he is a Computer Science major on the Pre Med track. Brett's Junior Independent Work has examined the crossroads of medicine and technology. In the Fall he worked on the AphasiaFox extension for firefox, a picture, sound and video pop-up dictionary for people suffering from the language disorder aphasia. In the Spring he worked on the MotifDigger project in order to identify let-7 miRNA target sequences in the 3'UTR region of the human genome. Currently he is working at the American College of Radiology Imaging Network, updating the iPAD annotation tool for radiological images.
Jithun Nair
Graduate Student - Electrical Engineering
Jithun Nair received his B. Tech in Electronics and Electrical Engineering from Indian Institute of Technology Kharagpur. He's pursuing his Masters in Electrical Engineering at Stanford. He is currently working on developing a web-based version of the iPad, a computerized tool for annotation of radiological images. His interests include developing Rich Internet Applications (RIA) and Computer Graphics.
Abhik Lahiri
Graduate Student - Computer Science
Abhik Lahiri is pursuing a Master's in Computer Science at Stanford. He received his Bachelor's in Computer Science from Birla Institute of Technology and Science, Pilani - Goa Campus. He recently worked for 5.5 months in HP Labs, Bangalore. His interests are in AI, Machine Learning, Information Retrieval. Abhik is currently working on information extraction of semantic information from radiology reports to enable publishing and computerized reasoning over these data on the Semantic Web.