Jeffrey Fessler

Jeff Fessler named ISMRM Senior Fellow for outstanding work in image reconstruction

Fessler is recognized for his work advancing image reconstruction algorithms and ensuring their accessibility for other MRI researchers, improving patient care.

Electrical and Computer Engineering curriculum prepares students to join the AI revolution

New generative AI model can reconstruct a high-quality, sparse-view 3D CT scan with a much lower X-ray dose

Improvements move the deep learning technique towards use in 3D medical imaging.

Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems

Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.

Jeff Fessler named William L. Root Distinguished University Professor of EECS

Fessler has improved healthcare for countless patients by improving medical imaging techniques, while achieving a distinguished record as an educator.

New textbook teaches students about matrix methods and their real world applications

Linear Algebra for Data Science, Machine Learning, and Signal Processing, written by ECE Professors Jeffrey Fessler and Raj Nadakuditi, provides an accessible and interactive guide to matrix methods.

Jeffrey A. Fessler named Interim Chair of Electrical and Computer Engineering

Fessler is a world leader in medical image reconstruction and a gifted educator.

Improving generative AI models for real-world medical imaging

Professors Liyue Shen, Qing Qu, and Jeff Fessler are working to develop efficient diffusion models for a variety of practical scientific and medical applications.

Family Fun Night celebrates the wonders of ECE research, community

The event featured interactive research stations, student team demos, and carnival attractions, including the chance to dunk a professor.

Congrats ECE alumni who joined academia

Congratulations to these ECE graduates who have recently joined academia as faculty members!

Jeff Fessler receives Stephen S. Attwood Award

Prof. Fessler has made lasting contributions to the field of medical imaging, which has led to safer imaging techniques for countless individuals.

Jeffrey Fessler voted 2022 HKN Professor of the Year for ECE

Prof. Fessler has received numerous teaching awards throughout his career, and this is his third time as HKN Professor of the Year

Three teams of graduate students awarded prizes for their final projects in Image Processing (EECS 556)

KLA sponsored prizes for three outstanding projects focused on improving image processing for neurosurgery and satellite applications and MRI reconstruction techniques.

3D motion tracking system could streamline vision for autonomous tech

Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype

Caroline Crockett awarded Rackham Predoctoral Fellowship for research bridging two fields

Crockett’s dissertation will integrate two fields: image processing & machine learning and engineering education research

Teaching signal processing during COVID-19

From adapting to remote office hours to completely redesigning exam content and format, we explore how one class, EECS 551 Matrix Methods for Signal Processing, Data Analysis, & Machine Learning, has had to reinvent itself for the times.

Research to improve medical imaging of the brain receives Magna cum Laude Merit award

The interdisciplinary team was able to dramatically speed up the process while potentially doubling the quality of the image

Magna cum Laude Merit Award for research to detect the progress of diseases such as multiple sclerosis

The researchers’ imaging technique is fast, accurate, and reproducible

Melissa Haskell receives NIH Fellowship for research to improve brain imaging

ECE postdoc Melissa Haskell works on improving functional magnetic resonance imaging so we can better measure and understand brain activity.

A 3D camera for safer autonomy and advanced biomedical imaging

Researchers demonstrated the use of stacked, transparent graphene photodetectors combined with image processing algorithms to produce 3D images and range detection.

ECE and data science: a natural connection

Electrical and Computer Engineering (ECE) faculty and students at Michigan are part of the revolution in data science that is happening today.

Students win prizes for improving image processing techniques for liver cancer detection and much more

Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression

Gopal Nataraj receives U-M Rackham Predoctoral Fellowship to support high-impact research in medical imaging

Award for outstanding doctoral candidates near the end of their study.

Students earn prizes for improving image processing techniques in EECS 556 (Winter 2016)

The course covers the theory and application of digital image processing, with applications in biomedical images, time-varying imagery, robotics, and optics.

Jeff Fessler receives 2016 IEEE EMBS Technical Achievement Award

Prof. Fessler has revolutionized the theory and practice of medical imaging with his group’s groundbreaking mathematical models and algorithms.

Jeff Fessler voted 2016 HKN Professor of the Year for ECE

Prof. Fessler was surprised (and happy) to learn of this unique honor at the end of his final class for the semester.

Jeff Fessler named William L. Root Professor of Electrical Engineering and Computer Science

In addition to being a professor of Electrical Engineering and Computer Science, Fessler is a professor of Biomedical Engineering and Radiology.

A better 3D camera with clear, graphene light detectors

While 3D films are currently made using multiple cameras to reconstruct each frame, this new type of camera could record in 3D on its own.

Jeff Fessler receives Distinguished Faculty Achievement Award

Prof. Fessler has revolutionized medical imaging with groundbreaking mathematical models and algorithms that improve both safety and quality.

Using data science to achieve ultra-low dose CT image reconstruction

Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.

We are now one ECE: the merged graduate program in Electrical and Computer Engineering

In recognition of how the Electrical Engineering discipline has evolved, the two graduate programs, Electrical Engineering and Electrical Engineering: Systems, have merged to form one graduate program: Electrical and Computer Engineering.

Prize winning class team project for improved image processing

The project entails investigating a recent paper and both reproducing and extending the research.

Hao Sun earns 3 Paper Awards for medical imaging research

Hao’s research is focused on improving the quality of images from magnetic resonance imaging pulse design.

Students earn prizes for improving image processing techniques in EECS 556 (Winter 2014)

Mai Le receives CoE Distinguished Leadership Award

Mai has served as Community Service Co-chair of the Graduate Society of Women Engineers since arriving at Michigan in 2011.

Student Spotlight: Mai Le – Finding a better way to diagnose breast cancer with MRI

The research group is using statistical signal processing to create crisper images with only 20% of the data required by a traditional MRI scan.

Gopal Nataraj earns Best Paper Award for improving MRI

Nataraj is using big data techniques to transform the field of medical imaging

Gopal Nataraj receives ISA Fellowship to support research that will improve MRIs

Nataraj’s research aims to generate higher-quality and faster MRI images, resulting in improved diagnostics of neurological disorders and autoimmune diseases.

MCubed A Year Later: A record of fostering innovative research

Several of the cubes enabled research to progress to the point that faculty are applying for larger grants to continue the work.

Jeff Fessler receives 2013 IEEE Edward J. Hoffman Medical Imaging Scientist Award

This award recognizes outstanding contributions to the field of medical imaging science.

Student teams earn prizes for improved image processing techniques in EECS 556 (Winter 2013)

The course covers the theory and application of digital image processing.

2012-13 College of Engineering Awards

Congratulations to the following recipients of 2012-13 College of Engineering Awards!

Jeff Fessler honored with Distinguished Graduate Mentor Award

Prof. Fessler’s students have praised the collegial and collaborative environment of his lab, his careful balancing of freedom and guidance, and his attention to each student.

New technology allows CT scans to be done with a fraction of the conventional radiation dose

“We’re excited to be adding Veo to the measures we already have in place to ensure that we get diagnostic images using the lowest amount of radiation possible.”

Student teams earn prizes in EECS 556: Image Processing (Winter 2011)

Congratulations to the winning students!

Yong Long selected as Barbour Scholar

The Barbour Scholarship, established in 1914, recognizes women at the University of Michigan of the highest academic and professional caliber.

Yong Long receives Best Poster Award for work in medical imaging

Long’s work describes a new algorithm for performing model-based methods in a way that requires less computation yet provides improved image quality.