Ferenc Jolesz First Monday Research Seminar Series
The Department of Radiology holds a monthly Ferenc Jolesz Seminar Series presented by Harvard Medical School investigators, as well as speakers from other institutions, on a wide range of topics related to image-guided therapy. These seminars honor the late FERENC JOLESZ, MD who founded the multidisciplinary image-guided therapy program at Brigham and Women’s Hospital and is widely known as a founding father of the field of image-guided therapy.
UPCOMING SEMINARS
DATE: Monday, April 7th, 2025 | TIME: 12:15pm-1:15pm | LOCATION: This seminar will be held via Zoom.
Jenna Mueller, PhD : Improving Cancer Management in Low and Middle-Income Countries through Human-Centered Biomedical Device Design

Jenna Mueller, PhD
Assistant Professor
Fischell Department of Bioengineering
University of Maryland
Worldwide cancer deaths are project to increase 50% in the next 20 years. Over 70% of cancer-related deaths occur in low and middle-income countries (LMICs), and 50% of those deaths are considered premature. This rising cancer burden is stressing an already overwhelmed healthcare system in many LMICs. For example, pathological diagnosis of biopsies is used to diagnose a majority of cancers; however, only 30% of LMICs reported having pathology services available. Additionally, while excisional surgeries are at the foundation of cancer treatment, 90% of patients in LMICs do not have access to surgery. In struggling healthcare systems, addressing the growing cancer burden may require a new vision – one that leverages low-cost, portable, electricity-independent, and accessible biomedical technologies to improve cancer management in LMICs. Dr. Mueller’s lab is focused on developing accessible biomedical technologies via a human-centered design approach to improve the management of cancer in LMICs. In this talk, Dr. Mueller will describe a combination of innovations that are at different stages in the translational pipeline to transform the management of cancer in LMICs. These innovations include: 1) gel ethanol ablation, an accessible treatment that involves injecting ethanol into a lesion to cause necrosis, and 2) a low-cost, reusable laparoscope for intra-abdominal cancer surgeries performed in LMICs.
Dr. Mueller is an Assistant Professor in the Fischell Department of Bioengineering at the University of Maryland College Park and in the Department of OB-GYN & Reproductive Science at the University of Maryland School of Medicine. She is also a member of the Program in Oncology at the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center. Her lab combines optical imaging, image processing, ablative therapies, and human-centered design to develop biomedical devices to solve challenges in global cancer. She received her bachelor’s degree in bioengineering with a minor in global health technologies from Rice University and received both an MS and PhD in biomedical engineering at Duke University for her work developing optical systems and algorithms to improve the accuracy of cancer excision during surgery. Prior to joining the University of Maryland, Dr. Mueller was a Postdoctoral Associate at Duke University where she worked with a multidisciplinary team to develop the Pocket colposcope, a low-cost device to screen women for cervical dysplasia, which is now commercially available. Her work has been supported by a NSF CAREER Award and by the NCI through a K99/R00 Pathway to Independence Award, SBIR phase 1 and phase 2 awards, R21 and U01 subawards, and the NCI-UMD Partnership for Integrative Cancer Research award. She was also recently awarded the SPIE Early Career Achievement Award.
Pietro Nardelli, PhD: Deep Learning for Pulmonary Vascular Disease
Pietro Nardelli, PhD Instructor in Radiology Department of Radiology Brigham and Women’s Hospital Harvard Medical School Abstract Pulmonary vascular disease (PVD) is a term used to indicate any condition that affects the blood vessels along the route between the heart…
Haoyin Zhou, PhD: Laparoscopy Video-based Trackerless Surgical Navigation for Minimally Invasive Liver Surgery
Haoyin Zhou, PhD Instructor in Radiology Department of Radiology Brigham and Women’s Hospital Harvard Medical School Abstract Minimally invasive liver surgery (MILS) is the preferred treatment for liver tumors compared to traditional open surgery due to low blood loss, less…
Andriy Fedorov, PhD: NCI Imaging Data Commons
Andriy Fedorov, PhD Associate Professor of Radiology Department of Radiology Brigham and Women’s Hospital Harvard Medical School Abstract National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) (https://datacommons.cancer.gov/) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons…
Paul B. Shyn, MD: PET/CT-Guided Tumor Ablation: Myths and Promises
Paul B. Shyn, MD Associate Professor of Radiology Department of Radiology Brigham and Women's Hospital Harvard Medical School Abstract Clinical PET/CT was a disruptive technology that blended molecular imaging with anatomic imaging and led to astounding results. The adoption of…
Assaf Tal, PhD: From Function to Cognition: New Spectroscopic Tools for Studying Brain Neurochemistry In-Vivo
Assaf Tal, PhD Assistant Professor Department of Chemical and Biological Physics Weizmann Institute of Science, Israel Abstract In this seminar, I will present new methods in magnetic resonance spectroscopy (MRS) we've been working on in the lab. The talk will…
Robert C. Gentleman, PhD: The Importance of Software and Data (A View of the Future)
Robert C. Gentleman, PhD Executive Director, Center for Computational Biomedicine Harvard Medical School Abstract I will discuss why I believe we are coming to an important inflection where it is important to carefully curate and integrate data resources and to…
Gonzalo Vegas Sanchez-Ferrero, PhD: Harmonization of CT Scans: Reducing Confounding Factors in Multicenter Clinical Studies
Gonzalo Vegas Sanchez-Ferrero, PhD Instructor in Radiology Department of Radiology Brigham and Women’s Hospital Harvard Medical School Abstract Quantitative analysis of CT images in multicenter studies involves dealing with intrinsic disparities in the density measures due to differences in the…
Sughra Raza, MD & Lisa Becker, PhD: From Mammography to Tumor Metabolism
Sughra Raza, MD Associate Professor of Radiology Harvard medical School Lisa Becker, PhD Postdoctoral Fellow VIB-KU Leuven, Belgium Short Bio: Sughra is currently Associate Professor of Radiology at HMS and has worked as a breast imaging radiologist at Brigham &…
Marco Palombo, PhD: Relaxed-VERDICT: Decoupling Relaxation and Diffusion for Comprehensive Microstructure Characterisation of Prostate Cancer
Marco Palombo, PhD UKRI Future Leaders Fellow Centre for Medical Image Computing Department of Computer Science University College London Abstract Prostate cancer (PCa) diagnosis requires transrectal biopsy, which is invasive and prone to error. VERDICT [1,2] is a non-invasive imaging…
Leah H. Portnow, MD: Breast Density: A Continuing Conundrum
Leah H. Portnow, MD Instructor in Radiology Breast Imaging Division Brigham and Women's Hospital Harvard Medical School Abstract In a retrospective review of 200 screening full field digital mammograms, the effect of BI-RADS® 5th edition (5th-ed) guidelines on inter- and…
Lauren O’Donnell, PhD: Novel Analyses of Diffusion MRI Fiber Tractography to Study the Brain’s Connections in Health and Disease
Lauren Jean O'Donnell, PhD Associate Professor in Radiology Brigham and Women's Hospital Harvard Medical School Abstract Our recent research demonstrates that white matter fiber tracts can be automatically identified from diffusion MRI tractography across the lifespan. This enables novel analyses…
Katherine Breedlove, PhD: The Injury-System Paradigm and the Essential Role of Neuroimaging in Concussion
Katherine Breedlove, PhD Research Associate in Radiology Brigham and Women's Hospital Harvard Medical School Abstract Mild traumatic brain injury (mTBI) has proven to be a challenging injury to study. It presents with a complex set of symptoms, highly individualized and dependent…