Juergen Willmann, MD

Professor of Radiology

Division Chief, Body Imaging
Stanford University School of Medicine

Stanford Profile | Research

Phone: 650-725-1812 | Fax: 650-723-1909 | E-mail »

Lotfi Abou-Elkacem, PhD

E-mail »

My goal is the detection of early pancreatic cancer using a novel non-invasive in vivo molecular ultrasound imaging technique. The diagnostic accuracy of molecular ultrasound imaging will be assessed in detecting early pancreatic cancer by using a novel molecular target in a transgenic pancreatic cancer mouse model.

Sunitha Bachawal, PhD

(650) 724-1472 | E-mail »

The focus of my research is using novel non-invasive in vivo molecular imaging techniques for early detection and treatment monitoring of breast cancer. In addition I work on identifying new molecular targets for use with ultrasound imaging.

Ahmed El Kaffas, PhD

I am interested in developing imaging methods to characterize tumor vasculature and the tumor microenvironment, and to subsequently relate these imaging methods to biomarkers that can be used for cancer treatment monitoring. My current research is focused on developing volumetric contrast-enhanced quantitative ultrasound methods to characterize tumour vasculature and to assess treatment response in patents with colorectal cancer metastases in the liver.

Huaijun (Morgan) Wang, PhD

(650) 724-1472 | E-mail »

My research interests are the characterization of different rodent and large animal models and therapeutic evaluation of diseases with multiple imaging modalities including ultrasound, magnetic imaging resonance, computed tomography, and positron emission tomography with special focus on molecular imaging, including early detecting tumor and monitoring treatment response in rodent tumor models.

Katheryne Wilson, PhD

My primary research interest is focused on using multi-modality imaging, with a large emphasis on ultrasound and photoacoustics, combined with molecular contrast agents to address clinical needs, such as early as possible breast cancer detection and imaging of inflammation. I have a strong interest in the combination of molecular imaging and nanotechnology to create novel imaging agents.

Taehwa Lee, PhD

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My research interest is in cavitation-based therapeutic modalities enabled by focused ultrasound produced by either laser excitation or piezoelectric transducers, with an aim of treating diseased tissues in non-invasive and targeted manners. I am currently working on image-guided ultrasound/microbubble-meditated drug delivery with an emphasis on passive cavitation imaging for monitoring drug delivery.

Alireza Akhbardeh, PhD

I have over 15 years of experience in both academic and industrial settings with over 60 publications and patents. I have focused on various aspects of medical imaging (MRI, Ultrasound, PET/CT, Optical), signal/image processing, machine learning, and medical device development for many different projects. I have PhD in Biomedical Engineering and also completed two different fellowships in Biomedical and Radiology and Oncology, followed by a tenure-track faculty position at Johns Hopkins University School of Medicine. I have also appointed with other primary and adjunct faculty appointments in ECE and BME in the past.

Isabelle Durot, MD

As a clinically focused Radiologist I am primarily interested in clinical cancer research based on different imaging techniques, with focus on ultrasound. I am currently working on clinical research using non-invasive imaging techniques such as Quantitative Ultrasound (QUS) for early detection of HCC in at-risk patients, Ultrasound Elastography and 3D-Contrast Enhanced Ultrasound in GI cancer patients with liver metastases.

Dandan Li, MD

My research interest is using molecular imaging ultrasound to detect tumor at early stage and to monitor treatment response in animal tumor model. I am also interested in using this novel non-invasive technique for treatment monitoring of non neoplastic diseases, such as terminal ileitis.

Passa Pungchai - Student Intern

My primary research interest is the design and development of efficient, novel imaging agents for early cancer detection through photoacoustic and fluorescence imaging. Specifically, I am currently working on engineered protein-dye conjugates with optimized clearance properties in order to minimize toxicity risks.

Joseph Chen - Student Intern

As an undergraduate student with a focus on studying neuroscience and oncology, my research interests primarily involve developing and improving the efficacy of non-invasive imaging techniques capable of cancer early detection and cancer treatment monitoring, particularly in relation to neuroendocrine cancer. I am currently working on developing a motion correction software that eliminates motion artifacts in dynamic contrast-enhanced ultrasound images in order to better quantify tumor perfusion data of cancer metastasis to the liver.

Ankush Swarnakar - Student Intern

My main research interest is applying computational and engineering techniques to help non-invasively detect cancers early, monitor their responses to therapies, and characterize tumors. I am currently working on developing a computational tool for Quantitative Ultrasound Spectroscopy of 3D ultrasound RF data in order to better assess the progression and treatment response of tumors.

Shaya Zarkesh - Student Intern

My primary research interest is in the quantification and texture analysis of parametric maps for dynamic contrast-enhanced 3D ultrasound. I am also interested in using this quantification for machine learning and analysis of treatment response. With a strong interest and previous work in the application of computer science to medicine, my work in the lab fits directly into my development and growth as a researcher.

Hersh Sagreiya, MD

My current two greatest areas of interest are medical imaging informatics and molecular imaging. As part of an RSNA Fellow grant, I will use machine learning and texture analysis to develop a quantitative tool for the early detection of ovarian cancer using BR55, a novel molecular imaging agent that targets sites of neoangiogenesis. I am interested in additional opportunities to apply deep learning techniques, as well as correlating radiologic and pathologic data.

Lab Alumni

Sayan Mullick Chowdhury, PhD

Keerthi Valluru, MS

Jennifer Wischhusen

Gaeun Kim - Student Intern

Dung Ngoc Lam - Student Intern

Rosa Sigrist, MD

Huiping Zhang, MD, PhD

Ferdinand Knieling, PhD

Steven Machtaler, PhD

Jiale Qin, MD

Tzu Yin Wang, PhD

Jianhua Zhou, PhD

Osamu Kaneko, MD

Paul Laeseke, PhD

Nirupama Deshpande, PhD

Marybeth Pysz, PhD

Kira Foygel, PhD

Ying Ren

Cedric Panje

Grace Anlon Tye

Anobel Tamrazi

David Wang