Ghassan Hamarneh

Medical Image Analysis Researcher. Computer Vision and Machine Learning for Health.

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

New paper in IEEE Data Descriptions:
IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset
💻Code: https://t.co/LNhQlhCDNm
📂Data: https://t.co/ytSfNZdtok
📰PDF:  https://t.co/p19kZJNgHQ

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Congratulations Weina!

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Congrats to Christian for successfully defending his MSc thesis: Adversarial erasing enhanced multiple instance learning (siMILe): Discriminative identification of oligomeric protein structures in single molecule localization microscopy

Christian's Papers
https://t.co/DFN0U6XisD

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Congrats to @__KumarAbhishek for winning Best Paper Award at Int'l Skin Imaging Collaboration (ISIC) Skin Image Analysis Workshop at MICCAI 2025 for our work: What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? @SFU_CompSci
📄💻https://t.co/lfsiEBRfAc

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

"What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?" - New paper at ISIC Skin Image Analysis Workshop at MICCAI 2025.

📄 https://t.co/GAmu4kJdjj
💻 https://t.co/lfsiEBRfAc

@__KumarAbhishek @JeremyKawahara @SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

New paper in Nature Communication Biology

nERdy: network analysis of endoplasmic reticulum
dynamics

📄PDF https://t.co/ovyXXihktX

💻Code: https://t.co/DbJ4GfVO1g

Collaboration with the Nabi lab at UBC

@SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

New J Medical Image Analysis paper:

BiasPruner: Mitigating Bias Transfer in Continual Learning for Fair Medical Image Analysis

https://t.co/V45IdVL2AT

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Preprint 📄 led by Weina Jin @SFU_CompSci with @XiaoxiaoLi8 at UBC

Why is plausibility surprisingly problematic as an XAI criterion?

https://t.co/wRapiGtHwN

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

New paper in 'Contact: The Journal of Inter-Organelle Communication' on "Comparative Analysis of SPLICS and MCS-DETECT for Detecting Mitochondria-ER Contact Sites (MERCs)". Collaboration between @SFU_CompSci and UBC Life Sciences Institute.

📄 https://t.co/MoMcY1qV15

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Closing the multichannel gap through computational reconstruction of interaction in superresolution microscopy, review in J Cell Patterns led by @BenCardoen @SFU_CompSci with 161 references, 6 summary tables, 9 overview figures.
PDF: https://t.co/iiWrZpD5WE

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

We are pleased to share that our work 'Disentangled PET Lesion Segmentation' has won the Best Paper Award at the IEEE International Symposium on Biomedical Imaging 2025. Congratulations to Tanya and co-authors and Thank you to the ISBI organizers! @SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Paper Disentangled PET Lesion Segmentation selected for Oral Presentation & finalist for Best Paper Award at IEEE ISBI 2025. If you're at ISBI, stop by Tanya's talk tomorrow Apr 15 @ 9:45 AM @ Dogwood F3 room
Paper https://t.co/ioWf3LsHzQ
Code https://t.co/PkKfhuwfIx
@SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

ICLR 2025 paper -- SMITE - Segment Me In Time
📄
https://t.co/yQYIQ0C26L
💻 https://t.co/QU5nwWKVHK
🎥  https://t.co/LCyvqAJDw7

@SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

New paper in Journal of Cell Science. SuperResNET: Single molecule network analysis detects changes to clathrin structure by small molecule inhibitors

📄 PDF https://t.co/gNmgVYxhWL
🌐 DOI https://t.co/jak3HsWbeV

@SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Our latest paper in Nature Scientific Data critically analyzes popular skin image datasets: DermaMNIST, HAM10000, Fitzpatrick17k for data quality issues and their effects on benchmarks, and proposes corrections to these datasets. @SFU_CompSci 1/2

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Congratulations to Ashish Sinha for successfully defending his MSc thesis: Representation and Synthesis of 3D Biomedical Visual Data, Papers: DermSynth3D and TrIND https://t.co/SQO4fGchgI Code: https://t.co/Ig8SUVLiJW https://t.co/83vlh0Umz7

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Congratulations to Tanya Gatsak for successfully defending her MSc Thesis on "PETDisentangler", PET lesion segmentation via disentangled healthy and disease feature representations!

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

2. Segmentation Style Discovery: Application to Skin Lesion Images

📄 https://t.co/DmxTcZczRg

💻 https://t.co/YawvMjZmJD

@SFU_CompSci

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

Two orals at the MICCAI's Skin Image Analysis workshop

1. Lesion Elevation Prediction from Skin Images Improves Diagnosis

📄 https://t.co/hOaeQzBHYo

💻 https://t.co/91HbRwgtVd

and...

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

ECCV paper
"AFreeCA: Annotation-Free Counting for All"
📄https://t.co/eNHITGxceL
💻 https://t.co/CfY92xQiB2