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20112026
most citedMedical Image Segmentation Review: The success of U-Net

97 citations · 207 across the 55 of their papers we have counts for

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cs.CV2026

HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology

Afshin Bozorgpour, Peter Schüffler, Edgar Jost +1

Bone-marrow cytology is inherently structured: each cell belongs to a hematopoietic lineage, and many cell types lie on ordered maturation trajectories. Standard flat classifiers i…

cs.CV2026

Fast and Accurate Monomodal 3D High Resolution Deep Registration of Drosophila Larval Brain Volumes

Daniel Reisenbüchler, Yousef Sadegheih, Michael Dittrich +3

The larval stage of Drosophila melanogaster is a compact model system for neuroscience whose genetic toolkit allows fluorescent markers to be expressed in defined neural population…

cs.CV2026

TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation

Amir Hossein Saleknia, Alireza Kheyrkhah, Sanaz Karimijafarbigloo +5

Pancreatic tumor segmentation in 3D CT volumes is challenged by extreme scale variability across both the pancreas and tumor, and highly irregular tumor morphology. While recent ad…

cs.CV2026

MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation

Afshin Bozorgpour, Sina Ghorbani Kolahi, Moein Heidari +2

Vision-LSTM (ViL) enables efficient global modeling, but its cost still scales with the number of spatial tokens, so existing segmenters confine ViL to a coarse bottleneck and lose…

cs.CV2026

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation

Sanaz Karimijafarbigloo, Armin Khosravi, Alireza Kheyrkhah +3

Multi-rater medical image segmentation captures the inherent ambiguity of clinical interpretation, where diagnostic boundaries vary across experts and imaging devices. Existing app…

cs.CV2026

Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation

Hongbo Zheng, Afshin Bozorgpour, Dorit Merhof +1

Medical image segmentation requires models that preserve fine anatomical boundaries while remaining practical for clinical deployment. Transformers capture long-range dependencies…