Juergen Willmann, MD

Professor of Radiology

Founder of Translational Molecular Imaging Laboratory


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.

Tommaso Di Ianni, PhD

My research interests include the development and clinical translation of noninvasive modalities for early detection and treatment of cancer and cardiovascular disease, focusing in particular on the use of medical ultrasound. My long-term objective is to make available to the clinic methods to 1) classify cancerous tissue quantitatively and non-invasively, therefore reducing the need for biopsies; 2) use the biomarker maps to guide the delivery of therapeutic agents in a localized and targeted way; and 3) image the drug delivery process for verification.

Rakesh Bam, PhD

Statement of research: I am developing B7H3 ligands to enhance ultrasound contrast, which is vital for cancer early detection and diagnosis in clinic. The goal is to target microbubbles expressing this ligand to tumor blood vessels and deliver drugs at the site of interest. B7H3 is expressed in tumor microenvironment and we are also interested in evaluating the changes in immune landscape with the use of its ligand. I am also interested in merging new generation gene therapy tools  with molecular imaging to treat cancer.

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.

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.

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.

Pan Li, MD

I have been engaged in clinical ultrasound diagnosis and experimental research for 12 years. I am interested in developing lipid/polymer-coated ultrasound microbubbles, targeted and drug/gene loaded microbubbles, and novel imageable agents like phase-shift nanoparticles for multimodal imaging. I work on employing them as theranostic agents for tumor molecular imaging and targeted therapy. Currently, I focus on the detection and identification of sentinel lymph node (SLN) in mouse breast cancer model at early stage with ultrasound molecular imaging technology.

Zhongqian Hu, MD

The focus of my research is using ultrasound guided drug delivery to treat Hepatocellular carcinoma. I have also a strong interest in identifying new molecular targets for use with ultrasound imaging.

Lab Alumni

Taehwa Lee, PhD

Passa Pungchai - Student Intern

Joseph Chen - Student Intern

Ankush Swarnakar - Student Intern

Shaya Zarkesh - Student Intern

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

Jial 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