News & Events – Bagci Lab – Machine and Hybrid Intelligence

News & Events

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Sep 07, 2023

Congrats! Our GazeSAM work is accepted in NeurIPS 2023 Workshop Gaze Meets ML

This study introduces eye gaze as a novel interactive prompt for image segmentation, different than previous model-based applications. Specifically, leveraging the real-time interactive prompting feature of the recently proposed Segment Anything Model (SAM), we present the GazeSAM system to enable users to collect target segmentation masks by simply looking at the region of interest.

Github Page: https://ukaukaaaa.github.io/projects/gazesam/gazesam.html
paper link: https://openreview.net/pdf?id=hJ5DREWdjs

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Sep 07, 2023

A Recently Released Multi-Center Gastrointestinal Tract Dataset with 8K Images

We recently released a multi-center gastrointestinal tract dataset with 8K images from 27 classes. We hope that it opens new possibilities in GI endoscopy & colonoscopy research.

Dataset link: https://osf.io/84e7f/
paper link: https://arxiv.org/pdf/2307.08140.pdf

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Sep 03, 2023

We Have 11 Posters to Present in The 17th Annual Lewis Landsberg Research Day

The annual Research Day at Northwestern is a campuswide event to promote faculty and trainee development by sharing exciting research and conversations with colleagues. This year we have 11 posters to present:

GazeSAM: What You See is What You Segment
Deep Learning Algorithm for Accurate and Real-time Liver Segmentation
Visual Explanations for Radiology AI Applications with Information Bottleneck
Ensemble learning with Residual Transformer for Brian Tumor Segmentation
Monkeypox Diagnosis With Interpretable Deep Learning
A Fully Automatic AI System for Pancreas Segmentation from
Multicenter MRI Scans
AI-Based Pancreatic Cancer Risk Classification in IPMN Patients
Fast Forward Forward: Analytic Training for Deep Neural Networks
Computer-Aided Automatic Measurement of Pancreatic Cysts
Cognitive Perspectives on Complexity of Diagnostic Search and Its Analogy in Artificial Intelligence
Pancreatic Cancer: Decoding Risks with Duct Diameter, Cyst Size, and Abdominal Circumference

Congrats!

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Aug 25, 2023

Prof. Bagci Gave an Invited Talk Titled “Artificial Intelligence in Medical Imaging"

At the International Symposium on Current Advances in Medical Imaging Techniques, Prof. Bagci highlighted our recent findings from several high-risk, high-gain projects, funded by NIH.

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Aug 20, 2023

Congrats! Two papers are accepted in WACV2024

Two papers got accepted by Winter Conference on Applications of Computer Vision (WACV2024).

Paper #1: GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification

https://arxiv.org/pdf/2305.18221.pdf

Paper #2: Domain Generalization with Correlated Style Uncertainty

https://arxiv.org/pdf/2212.09950.pdf

Congrats to all students, postdocs and collaborators for these two amazing studies!

WACV is a premier venue for computer vision and machine learning research. Read more details at:

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Aug 15, 2023

Spotlight in NU's Newsletter

Our lab MHIL was recently featured in Northwestern Medicine’s newsletter, highlighting progress in AI for Pancreatic Diseases. Read more details at:

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Aug 12, 2023

Congrats! Our Papers are Accepted in ICCV CVAMD 2023

We have published an ICCV CVAMD 2023 paper! ICCV is a premier venue for computer vision and machine learning and the paper detail is the following:

Self-supervised Semantic Segmentation: Consistency over Transformation

S Karimijafarbigloo, R Azad, et al. ICCV 2023

https://arxiv.org/pdf/2309.00143.pdf

Congrats to Sanaz Karimijafarbigloo and Reza Azad for this great work!

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Aug 12, 2023

Congrats! 3 Papers in MICCAI 2023

We have published two MICCAI 2023 papers and a MICCAI MLMI workshop paper! MICCAI (https://conferences.miccai.org/2023/en/) will be held in Vancouver, Canada this year and considered as the top medical AI conference in the world. Here are the papers’ details:

Paper #1: A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications.
First author: Matteo Pennisi

Paper #2: Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. (link to be published)
First author: Reza Azad.
arXiv:2309.00108 (2023).

Paper #3: Radiomics boosts deep learning in Pancreas IPMN Classification. (link to be published)
First author: Lanhong Yao
http://arxiv.org/abs/2309.05857

Congrats to all students, postdocs and collaborators for these two amazing studies!

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Aug 09, 2023

Dr. Bagci Joins Renowned Panel on Machine Learning for Multimodal Healthcare Data at ICML 2023

We’re proud to announce that Dr. Bagci represented our lab as a panelist in the ML4MHD (Machine Learning for Multimodal Healthcare Data) session at ICML 2023. Chaired by Dr. Pallavi Tiwari, the panel also featured esteemed experts like Dr. Daniel Rueckert and Dr. Xiaoxiao Li.

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Aug 09, 2023

New Paper is Accepted in ICML

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.

by Debesh J. et al.

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Aug 08, 2023

Pioneering AI for Nuclear Medicine Imaging: Seminar with Dr. Bo Zhou of Yale University

We were honored to host Dr. Bo Zhou, a distinguished final-year Ph.D. Candidate from the Department of Biomedical Engineering at Yale University, for a captivating seminar on AI applications in Multi-modal Nuclear Medicine (NM) Imaging. Dr. Zhou’s extensive research addresses the critical challenges of high radiation doses, image quality degradation, and prolonged acquisition times in imaging modalities like PET-CT and PET-MRI. His innovative deep-learning strategies aim to enhance the safety, efficiency, and quality of these imaging techniques, potentially elevating their clinical utility. Dr. Zhou, with a commendable academic and research background marked by awards and over 50 publications, shared insights that promise to redefine the boundaries of medical imaging. Explore more about Dr. Zhou’s work on his homepage.

Aug 03, 2023

Congrats to Harmony Presenting Insightful Study on Pancreatic Cancer Risks

Congratulations to our visiting student, Harmony, on her stellar presentation at Northwestern University! Her insightful study on “Pancreatic Cancer: Decoding Risks with Duct Diameter, Cyst Size, and Abdominal Circumference” showcased an in-depth analysis and a fresh perspective, further contributing to the evolving discourse on pancreatic cancer research. We’re proud of her achievements and commend her dedication to this vital field of study.

Aug 01, 2023

New NIH U01 Grant from NCI

Dr. Bagci has received a prestigious NIH U01 grant from NCI, entitled “Hybrid Intelligence for Trustable Diagnosis for Prostate Cancer Diagnosis and Patient Management”.

Dr. Bagci will work with several world-renowned scientists and clinicians in this project including Dr. Turkbey (Co-PI), Dr. Pinto, and Dr Choyke of NIH, and Dr. Miller, Dr. Murphy, and Dr. Ross of Northwestern University. Dr Elif Keles of Bagci Lab will join the study as Co-I.

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Jul 21, 2023

Empowering Women in Medical AI: A Showcase of Our Lab's Leading Innovations

On July 21st, our lab resonated with inspiration and forward-thinking, thanks to our remarkable women scientists at the forefront of medical imaging research. Their tales of dedication, challenges, and groundbreaking discoveries were the highlight of this special gathering.

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Jun 22, 2023

Invited Talk at AI Summer School

Prof. Bagci gave an invited talk and lecture at the AI Summer School (Istanbul/Turkey),

called “Trustworhy AI for high Risk Applications”.

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May 09, 2023

DDW 2023: Digestive Diseae Week

Congratulations to our team in DDW2023!

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Apr 28, 2023

Collaboration and Insight: Prof. Mubarak Shah Visits Our Lab

We are honored to welcome Dr. Mubarak Shah, a renowned professor from the University of Central Florida (UCF), to our lab. During his visit, we will share our latest research findings and engage in fruitful discussions to explore potential collaborations and future directions in our respective fields.

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July 10, 2023 (scheduled)

MIDL 2023 Paper is Accepted for Publication

We are excited to announce the acceptance of our MIDL 2023 paper for publication! Stay tuned for more details on the study.

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Mar 19, 2023

"AI in Clinical Medicine" Now Available for Purchase

The new book co-edited by Prof. Bagci, “AI in Clinical Medicine: A Practical Guide for Healthcare Professionals,” is now available for purchase in both physical and electronic formats from Wiley. Get your copy at :

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Oct 8, 2023 (scheduled)

Keynote Speech on MICCAI 2023 Workshop

Prof. Bagci will be sharing expertise at the MICCAI 2023 workshop focusing on medical image learning with limited and noisy data.

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July 19, 2023

Keynote Speech on IEEE ICECCME 2023 Conference Agenda

A highly-anticipated keynote speech is set to be given at the upcoming IEEE ICECCME 2023 conference. It will focus on the failures of deep learning / AI algorithms and propose several approaches to increase robustness of AI powered medical imaging systems.

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Mar 16, 2023

Talk on Pancreatic Cyst Diagnosis with Explainable AI at the University of Pennsylvania

On March 16, 2023, an insightful talk was delivered at the University of Pennsylvania’s Radiology department, delving into the diagnosis and risk stratification of pancreatic cysts using explainable AI techniques.

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Feb 15, 2023

Trustworthy AI for Imaging-Based Diagnosis Presented at University of Wisconsin Madison

On February 15, 2023, an invited talk was given at the University of Wisconsin Madison’s BME department, highlighting the significance of trustworthy AI in imaging-based diagnosis.

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Jan 11, 2023

Research Team Secures Patent for Innovative Object Detection Algorithm: 'Deformable Capsules'

An improved method of performing object segmentation and classification that reduces the memory required to perform these tasks, while increasing predictive accuracy.

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Jan 01, 2023

RSNA Grant to Learn Prolonged Symptoms of COVID-19

Bagci lab received a grant funded by RSNA Emerging Issues – Long-Term COVID Effects EILTC2208, entitled “PASC Pulmonary Fibrosis Prediction with Deep Learning and Multimodal Data.”

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Dec 27, 2022

RSNA 2022 108th Scientific Assembly and Annual Meeting

Our team attended RSNA 2022 at Chicago. Ugur and Debesh are presenting our recent progress.

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Bagci Lab 2023, Department of Radiology, Feinberg School of Medicine, Northwestern University.