News

Dr. Fredrik Strand's AI-Powered Approach to Early Detection

November 13, 2024

Dr. Fredrik Strand's AI-Powered Approach to Early Detection

Advancing Neuroimaging Research from Julien Genzling and Céleste Gallien

October 29, 2024

Advancing Neuroimaging Research from Julien Genzling and Céleste Gallien

An AI Primer for Musculoskeletal Applications

October 22, 2024

An AI Primer for Musculoskeletal Applications

Considerations for Deploying AI in Radiology

September 18, 2024

Considerations for Deploying AI in Radiology

Ci2 Research at the UCSF RIDR Symposium

August 26, 2024

Ci2 Research at the UCSF RIDR Symposium

Peter D. Chang, MD

August 22, 2024

From Concept to Clinic: The Journey of AI in Radiology

Meet the 2024 Summer Fellows at UCSF Center for Intelligent Imaging

Meet the 2024 Summer Fellows at UCSF Center for Intelligent Imaging

The Implementation of Artificial Intelligence in Breast Imaging

The Implementation of Artificial Intelligence in Breast Imaging

Spotlight: Ci2 Member Jae Ho Sohn Lab

Graphical abstract of the research

Improving the Generalizability of T2-Lesion Segmentation of Gliomas with Deep Learning

Evan Calabrese, MD, PhD, Presents Multimodal Artificial Intelligence-based Outcome Prediction in Neonatal Encephalopathy

Evan Calabrese, MD, PhD, Presents Multimodal Artificial Intelligence-based Outcome Prediction in Neonatal Encephalopathy

Esther Yuh UCSF of Radiology and Biomedical Imaging and ci2 member

Semisupervised Learning Framework Demonstrates Stronger Generalizability Potential For Intracranial Hemorrhage Detection and Segmentation

Zongwei Zhou's, PhD, Visionary Approach to Medical Imaging

Machine Learning-based Automated MRI Scan Planning

Machine Learning-based Automated MRI Scan Planning

New Approach to Deep Learning Imaging Protocols

February 7, 2024

New Approach to Deep Learning Imaging Protocols

Revolutionizing Patient Care through AI and Innovative Imaging

February 2, 2024

Revolutionizing Patient Care through AI and Innovative Imaging

UCSF OHNS Drs. Sharmila Majumdar & Cynthia Chin

January 31, 2024

Drs. Sharmila Majumdar and Cynthia Chin of ci2 Share AI Experimental Program with San Francisco Chronicle

Using AI to Reduce Gadolinium Contrast Blog

January 22, 2024

Using AI to Reduce Gadolinium Contrast

Deep Learning Image Segmentation Approaches for Malignant Bone Lesions

December 12, 2023

Deep Learning Image Segmentation Approaches for Malignant Bone Lesions

The Impact of Transformational Technologies in Radiology

November 30, 2023

The Impact of Transformational Technologies in Radiology

UCSF's Elizabeth George, MBBS, and Andreas M. Rauschecker, MD, PhD,

November 29, 2023

Deep Learning Shows Promise in Retinal Hemorrhage Detection

ci2 Summer Interns

August 30, 2023

Showcasing the Achievements of UCSF ci2 Program Interns at the Summer Symposium

Graphical abstract of the research

August 25, 2023

Multi-Institutional Team Develops Deep Learning Technique for Generating Synthetic PET Sinograms from MRI

Graphical abstract of the research

August 18, 2023

New Method to Correct fMRI Distortions Without the Need for Extra Scans

Graphical abstract

Deep Learning Enables Accurate and Interpretable Identification on Lumbar Spine MRI

Four of the ci2 2023 summer interns

Meet the 2023 UCSF Center for Intelligent Imaging Summer Fellows

Rupsa Bhattacharjee, PhD

ci2's Rupsa Bhattacharjee Shares UCSF Research at ISMRM 2023

Yang Yang, PhD, of UCSF Imaging

Deep Learning System Created to Diagnosis, Classify and Monitor Interstitial Lung Disease

Erik Gösche, a master's student at FAU who is doing research at UCSF ci2

Meet Erik Gösche, an FAU Master's Student Conducting Research at UCSF

ci2 3rd Anniversary Events: Dani Ushizima, PhD and AI Computational Pathology

Artificial Intelligence Collaboration Continues Between San Francisco and Kiel, Germany

Members of the computational core team at Mission Bay: (l-r) Carolina Ramirez, Beck Olson, Dr. Jason Crane & James Hawkins.

Transforming Radiology Practice Using Artificial Intelligence

Upasana Upadhyay Bharadwaj, MD, is a T32 research fellow at the UCSF Department of Radiology and Biomedical Imaging

Ci2 Research Nationally Recognized for Debunking of Common Knee Arthritis Treatment

Keynote March 29th at 4 pm

Dorin Comaniciu Keynote Speaker at Science Sessions March 29th Event

UCSF ci2's Drs. Peder Larson and Zhen Jane Wang

Center For Intelligent Imaging Study to Yield Important Contributions to Noninvasive Kidney Imaging

Example of 3D tumor boundaries generated by the FeTS model overlaid on MRI images from a patient with glioblastoma.

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Debate Event March 8th "Is AI Ready for Primetime in Radiology"

February 23, 2023

Is AI Ready for Primetime in Radiology? Experts Debate on March 8.

The 3DLab provides valuable services by enhancing traditional 2D images, removing noise and creating 3D visualizations of anatomical regions that are easier for interpretation.

February 21, 2023

3DLab Imaging Services Improve Outcomes for Patients Inside and Outside UCSF

Longitudinal FTP prediction from baseline data via NDM.

February 14, 2023

Team Develops Tau Aggregation Predictor to Model Progression of Alzheimer's Disease

Dice scores ("Overlap, left ventricle") between the AI pipeline's LV segmentation ("AI pipeline prediction," red) and the manual LV segmentation ("EchoNet manual label") are shown.

February 3, 2023

Showing Clinicians Love During Heart Month: Deep Learning for Heart Disease Without Manual Labels

Andreas Rauschecker, MD, PhD, of the UCSF ci2 joined a panel on Radiology: AI Podcast.

January 31, 2023

How to Start an AI Research Lab: ci2's Dr. Andreas Rauschecker Discusses on Radiology: AI Podcast

January 26, 2023

Celebrate ci2's 3rd Anniversary by Joining the Imaging Innovation Challenge

Three students wearing short white coats stand talking in the hallway at UCSF.

January 20, 2023

Apply Now for ci2's Summer Fellowship and 6-Month Internship

The graphical abstract of the research on automated detection of IVC filters on radiographs.

January 19, 2023

Using an Object Detection Network to Automatically Screen for IVC Filters on Radiographs

Sharmila Majumdar, PhD, ci2 executive and scientific director, has been named one of the 2022 top female scientists in the U.S.

December 20, 2022

Sharmila Majumdar, PhD, Named a Top Female Scientist in the U.S.

Lower Grade Glioma segmentation of T2 FLAIR volumes and progression detection.

December 13, 2022

UCSF Diffuse Glioma MRI Dataset is Publicly Available to Aid Global Research

Overview of an emerging approach to map structural to functional connectivity in the brain. This technique, pioneered by the authors, uses a so-called "complex Laplacian eigenmode decomposition".

December 6, 2022

UCSF Ci2 Researchers Review Structure-Function Models in Non-Invasive Whole Brain Imaging

A radiograph shows improvement in spinal curvature in a 14 yo patient before and after 3 months of bracing.

November 30, 2022

Using 20,000 Spinal Radiographs to Create Global Curvature and Alignment Parameters

Example of endplate defects that can be routinely observed on lumbar MRI. Degenerative appearance (erosive osteochondrosis) on T1- and T2-weighted sequences (a; arrowheads) and focal Schmorl's nodes on T1- and T2-weighted sequences (b; arrowheads).

November 21, 2022

Working to Standardize Imaging Acquisition and Evaluation in Spinal MRI

A medical image showing an example of an automated fibroglandular tissue segmentation using machine learning

October 19, 2022

Using Machine Learning and Imaging Biomarkers Derived from Breast MRI for Personalized Breast Cancer Risk Prediction

Medical image showing how AI Can Detect Changes in the Spine that May Cause Lower Back Pain

October 13, 2022

AI Can Detect Changes in the Spine that May Cause Lower Back Pain

Medical image of a study demonstrating the feasibility of using deep learning to simulate contrast-enhanced breast MRI for imaging malignant masses

October 4, 2022

Can Deep Learning Be Used for Simulated Contrasted-Enhanced Breast MRI?

Header image depicting the UCSF Center for Intelligent Imaging (ci2) MICCAI challenge titled "K26: from undersampled K-Space to automatic segmentation"

September 28, 2022

A Closer Look at the MICCAI 2022 K2S Challenge Winners

September 21, 2022

National Postdoc Appreciation Week – Meet Dr. Rupsa Bhattacharjee

September 20, 2022

National Postdoc Appreciation Week – Meet Dr. Felix Gassert

Medical research image showing how Investigators Incorporate Radiomics into Machine Learning Models to Better Predict Neuroblastoma Outcomes

September 12, 2022

Investigators Incorporate Radiomics into Machine Learning Models to Better Predict Neuroblastoma Outcomes

Woman with auburn hair wearing a black jacket and blue collared shirt against an outdoor background

August 31, 2022

An Interview with Masha Bondarenko, 2022 UCSF ci2 Summer Intern

An Interview with Satvik Nayak, 2022 UCSF ci2 Summer Intern

Example images from four different test subject scans of kVCT images

Using CycleGAN Machine Learning to Improve Accuracy of Photon and Proton Radiotherapy

CXR-Based Deep Learning Models

A Series of CXR-Based Deep Learning Models to Predict Future Healthcare Costs

combined deep convolutional neural network

Approach for Preoperative MRI-Based Glioblastoma Genetic Biomarker Prediction

Radiographic Osteoarthritis

A UCSF ci2 Study Shows Subject-Specific Prediction of Risk for Radiographic Osteoarthritis

NLP Search Algorithm

A Natural Language Processing (NLP) Search Algorithm to Facilitate Use of Appropriateness Criteria

UCSF ci2 at the 2022 ISMRM Annual Meeting

The UCSF ci2 has a Strong Presence at the 2022 ISMRM Annual Meeting

Representative three-dimensional renderings of the cell type distributions

UCSF Researchers Use Gene Expression Data to Map Cell Types in the CNS

MICCA

Participate in UCSF ci2, MICCAI 2022 Challenge: K2S K-Space2Segmentation

Screenshot of research depicting FAST for trauma in children

A Step Toward Using Computer Vision to Accurately Use FAST for Injured Children

Brain MRI Scan

Using AI-Based Image Enhancement to Reduce Brain MRI Scan Times and Improve SNR

Parul Verma

Parul Verma Awarded An Alzheimer's Association Research Fellowship

Rima Arnaout, MD

February 14, 2022

Building Methods and Tools for More Efficient Curation of Image Data

Architecture of RGB combining

February 9, 2022

Introducing Representational Gradient Boosting (RGB)

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm

January 28, 2022

Examining Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm

Bayesian Deep Learning for more Accurate and Robust PET.MRI Scanning

January 24, 2022

Using Bayesian Deep Learning for more Accurate and Robust PET/MRI Scanning

Deep Learning for Alzheimer's Disease

January 17, 2022

Recent Research Looks at Deep Learning for Alzheimer's Disease

Dynamic refinement process

January 4, 2022

The Future of AI for Diagnosis

Schematic of image processing strategy

December 16, 2021

Using Deep Learning and Diffusion-Weighted Imaging to Improve Noninvasive Classification of Glioma

Neuropsychological and Neuropsychiatric Imaging (NPPI) in adolescents

December 13, 2021

Precision Psychiatry for Adolescent Depression – A Vision for the Future

RSNA

December 6, 2021

A Great Showcase of AI at RSNA21!

Osteoarthritis with AI Applied to MRI.

November 30, 2021

UCSF ci2 Investigators Study Osteoarthritis with AI Applied to MRI

Study setup for radiologists.

November 22, 2021

Using a digital Swarm® platform to improve consensus among radiologists

Pedoia - Symposium Presentation

November 18, 2021

UCSF ci2 Investigators Shine at 2021 Imaging Research Symposium

Model Predictions for GoNoGoNet

November 15, 2021

Evaluating the Future Role of Surgical AI in the Operating Room

post-processing steps to reduce noise and achieve high precision nodule detection

November 8, 2021

AI and Lung Cancer Screening: Using AI to Improve Nodule Detection

raw chest X-ray to ROI Hide-and-Seek for validating deep learning inference

November 1, 2021

COVID-19 Screening: A Set of Protocols to Validate Deep Learning Algorithms for Chest X-Ray (CXR) Imaging

Automated AI Coronary Artery Calcium Scoring

October 20, 2021

Automated AI Coronary Artery Calcium Scoring is Live on all UCSF Non-Contrast Chest CTs

PET Resurrection

September 27, 2021

Improving Simultaneous PET/MR through Machine Learning

Deep Learning Model

September 22, 2021

UCSF ci2 and DAIR Collaborate to Improve Detection of Clinically Significant Prostate Cancer from Prostate MRI

Abhejit Rajagopal, PhD

September 20, 2021

Meet Abhejit Rajagopal, PhD, UCSF Postdoctoral Scholar

3dModeling-About

September 15, 2021

Lessons Learned from Real-World Federated Learning: Experience with COVID-19 Modeling at UCSF

overview of the machine learning model building process

September 7, 2021

An AI Algorithm Accurately Predicts Delayed Radiology Turnaround Times

UCSF ci2 and RIDR Program Interns 2021

August 26, 2021

Second Annual Summer Symposium Highlights UCSF ci2 and RIDR Program Interns

Emily Xie

Emily Xie, UCSF ci2 Intern, Shares Her Experiences

MEDOMICS-Visual

Introducing "MEDomics" – a Novel Approach to Refine Predictions and Prognosis in Cancer Patients

UCSF Ci2 Summer 2021 interns Coding Bootcamp

Building a Pipeline of Interest and Training in AI and Medicine: ci2's Education Pillar

characteristic curves for knees from testing set

An End-to-End Deep Learning Model Rapidly Stratifies Knees into MRI-based Morphological Phenotypes

Neuroimaging data

Applying Computational Tools to Neuroimaging Data to Further Understand the Brain's Structure-Function Relationship