kimia lab

KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis) is a machine learning and computer vision research group at Mayo Clinic

[kimia lab @KIMIA_Lab]

The most comprehensive validation of image search in. histopathology

[H.R. Tizhoosh @HRTizhoosh]

Just published: Analysis and Validation of #Image #Search Engines in #Histopathology

URL: https://t.co/799YKu4GJ6

#information #retrieval #search #image #pathology #histopathology #deeplearning #AI #foundationmodels

[kimia lab @KIMIA_Lab]

Kimia Lab Celebrates Global and Institutional Recognition for Director @HRTizhoosh - Highest ranked #AI researcher at Mayo Clinic.

Read: https://t.co/0TxjP0FtV7

[kimia lab @KIMIA_Lab]

Significant safety risk of pathology foundation models. the paper demonstrates that foundation models are uniquely vulnerable because of their scale, shared architectures (especially ViTs), and representational uniformity across models.
URL: https://t.co/txo8RaTvmb
#AI #pathology

[H.R. Tizhoosh @HRTizhoosh]

#Pathology #Foundation #Models pose significant #safety risks. Small, imperceptible noise patterns can universally degrade the performance of pathology foundation models across datasets and architectures.

URL: https://t.co/f951dEvfbd

[kimia lab @KIMIA_Lab]

#NeurIPS2025 Submission Accepted.

HeteroTissue-Diffuse generates synthetic #tissue images with realistic heterogeneous compositions that are indistinguishable from real patient biopsies.

Preprint: https://t.co/gSNzA0MR3U
Project: https://t.co/mDqjqMdQWO

[H.R. Tizhoosh @HRTizhoosh]

Why #foundation #models in #pathology are failing?
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Great exchange with collegaues at The 18th International Symposium on Translational Research in #Oncology, Sept 24th-26th 2025, #Dublin, Ireland.
@CCRTIreland @DCU

[kimia lab @KIMIA_Lab]

Core Ideas in Artificial Intelligence: From Perceptron to Transformers
URL: https://t.co/CCnf0VkBxj
Speaker: @HRTizhoosh - Invited Talk
Location: University of Minnesota, MN

#Neuron, #Perceptron, #MLP, #Autoencoder, #CNN, #Attention, #Transformer, #GenerativeAI

[H.R. Tizhoosh @HRTizhoosh]

"AI Trust Issues, Challenges, and Multimodal Insights in Pathology"
Podcast: https://t.co/wKrGwd7l5m
YouTube: https://t.co/ESkyeAFnLD

[H.R. Tizhoosh @HRTizhoosh]

It turns out cotton candy does not satisfy your hunger, gives you diabetes, and is ridiculously expensive.

Great study by Nita Mulliqi et al.
Paper: https://t.co/xenOxUmBom

#AI #foundationmodels #pathology

[H.R. Tizhoosh @HRTizhoosh]

Just published: Validation of histopathology foundation models through whole slide image retrieval (23 organs, 117 cancer subtypes)

URL: https://t.co/MwmuL11mgN

#AI #Pathology #Histopathology #DeepLearning #FoundationModels #Image #Search #Retrieval

[Mayo Clinic @MayoClinic]

Researchers have pioneered an AI tool, called OmicsFootPrint, that helps convert complex biological data into two-dimensional circular images. This may provide a new way to visualize patterns in diseases that can guide personalized therapies.

Learn more: https://t.co/R5aBq9VsKS

[H.R. Tizhoosh @HRTizhoosh]

Who can build foundation models?

#AI #ethics #LLMs #foundationmodels #deeplearning

https://t.co/uiFrNIfTjm

[The Digital Pathology Association @dpatweet]

Have you heard of FROG? Dr. Wenchao Han will guide you through the innovative unsupervised deep learning framework that's transforming immunohistochemistry analysis.

📆 Nov 4, 2024
🕚 3:55-4:15pm et

https://t.co/LhcpCOhbfc

#AIinPathology #IHCQuantification #PathVisions24

[The American Journal of Pathology @AJPathology]

#CurrentIssue
Sequential Patching Lattice for Image Classification and Enquiry: Streamlining Digital Pathology Image Processing
Authors from Department of Artificial Intelligence and Informatics, Mayo Clinic
Read full text: https://t.co/z2qp3tIG1U

[H.R. Tizhoosh @HRTizhoosh]

Just got accepted for publication in Nucleic Acids Research: OmicsFootPrint: a framework to integrate and interpret multi-omics data using circular images and deep neural networks
PubMed: https://t.co/Sz1i7DavrY
bioRxiv: https://t.co/hTF5MbGGjz
#AI #deeplearning #omics #cancer

[H.R. Tizhoosh @HRTizhoosh]

Validating Foundation Models for Image Search in Histopathology
URL: https://t.co/FSVpqEihJc

#Pathology #Histopathology #Histology #DeepLearning #FoundationModel #UNI #Virchow #GigaPath #Search #Retrieval #Image #TCGA

[H.R. Tizhoosh @HRTizhoosh]

Tuesday Sep 3, 2024, 1pm, Hyatt Regency Chicago

A tutorial on #AI as part of "Deep-Dive Workshop: Artificial Intelligence and Machine Learning for Anatomic #Pathology and Lab Medicine"

ASCP 2024 Annual Meeting, September 3-6 | Chicago
URL: https://t.co/aaryMa9jql

[kimia lab @KIMIA_Lab]

How to normalize immune cell sequences to be processed by LLMs

[H.R. Tizhoosh @HRTizhoosh]

Just published: Harmonizing Immune Cell Sequences for Computational Analysis with Large Language Models
URL: https://t.co/75biwQ6mEm
#AI #LLM #biological #sequencing #RNA #TCR #Tissue #pathology #omics

[kimia lab @KIMIA_Lab]

SPLICE - Streamlining #Digital #Pathology #Image Processing. A new #unsupervised algorithm for #patching WSIs;

URL: https://t.co/vY0NBYe00J
Code: https://t.co/amHrPoFGeM

#WholeSlideImage #WSI #DigitalPathology #Patching #Tiling #Patch #Tile

[H.R. Tizhoosh @HRTizhoosh]

"Walking the Talk: Validating AI for Precision Medicine with Clinical Trials" Keynote by Dr. Anant Madabhushi
July 8, 2024, 1pm - Hilton, Rochester, MN
URL: https://t.co/zV4AtpGKpo