ViM-UNet: Vision Mamba for Biomedical Segmentation

An image is worth 16x16 words: Transformers for image recognition at scale

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2010

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The pascal visual object classes (voc) challenge

M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010

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U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

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Cremi: Miccai challenge on circuit reconstruction from electron microscopy images, 2016

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Multicut brings automated neurite segmentation closer to human performance

Thorsten Beier, Constantin Pape, Nasim Rahaman, Timo Prange, Stuart Berg, Davi D Bock, Albert Cardona, Graham W Knott, Stephen M Plaza, Louis K Scheffer, et al · 2017

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Cell detection with star-convex polygons

Uwe Schmidt, Martin Weigert, Coleman Broaddus, and Gene Myers · 2018

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Livecell—a large-scale dataset for label-free live cell segmentation

Christoffer Edlund, Timothy R Jackson, Nabeel Khalid, Nicola Bevan, Timothy Dale, Andreas Dengel, Sheraz Ahmed, Johan Trygg, and Rickard Sjögren · 2021

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Unetr: Transformers for 3d medical image segmentation, 2021

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nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021

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Cellpose: a generalist algorithm for cellular segmentation

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Efficiently modeling long sequences with structured state spaces, 2022

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Segment anything for microscopy

Anwai Archit, Sushmita Nair, Nabeel Khalid, Paul Hilt, Vikas Rajashekar, Marei Freitag, Sagnik Gupta, Andreas Dengel, Sheraz Ahmed, and Constantin Pape · 2023

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Mamba: Linear-time sequence modeling with selective state spaces, 2023

Albert Gu and Tri Dao · 2023

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Cellvit: Vision transformers for precise cell segmentation and classification, 2023

Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, and Jens Kleesiek · 2023

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Segment anything

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023

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Vision mamba: Efficient visual representation learning with bidirectional state space model, 2024

Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, and Xinggang Wang · 2024

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