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U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
Yaopeng Peng, Milan Sonka, Danny Z. Chen
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SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao
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MGDC-UNet: Multi-group Deformable Convolution for Medical Image Segmentation
Anonymous
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DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution
Anonymous
Preprint
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
WACV 2024
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan Yuille, Cihang Xie, Yuyin Zhou
MICCAI 2023
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
MIDL 2023
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
Samra Irshad, Douglas P.S. Gomes, Seong Tae Kim
IEEE Access 2023
Large-Kernel Attention for 3D Medical Image Segmentation
Hao Li, Yang Nan, Javier Del Ser, Guang Yang
Cognitive Computation 2023
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Zheyuan Zhang, Ulas Bagci
MLMI 2022
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
Wentao Liu, Tong Tian, Weijin Xu, Huihua Yang, Xipeng Pan, Songlin Yan, Lemeng Wang
MICCAI 2022
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
MIA 2022
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Jeya Maria Jose, Vishwanath Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
TMI 2021
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations
Jeya Maria Jose, Vishwanath Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
MICCAI 2020 Oral
