Summary of Open Source Infrastructure For Automatic Cell Segmentation, by Aaron Rock Menezes and Bharath Ramsundar
Open Source Infrastructure for Automatic Cell Segmentationby Aaron Rock Menezes, Bharath RamsundarFirst submitted to arxiv…
Open Source Infrastructure for Automatic Cell Segmentationby Aaron Rock Menezes, Bharath RamsundarFirst submitted to arxiv…
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarkingby Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti,…
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentationby Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay…
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentationby Trung Dinh Quoc Dang, Huy Hoang Nguyen,…
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and…
SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenariosby Sriram Mandalika, Athira NambiarFirst…
DaCapo: a modular deep learning framework for scalable 3D image segmentationby William Patton, Jeff L.…
Point-supervised Brain Tumor Segmentation with Box-prompted MedSAMby Xiaofeng Liu, Jonghye Woo, Chao Ma, Jinsong Ouyang,…
SAM 2: Segment Anything in Images and Videosby Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang…
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentationby Mothilal Asokan, Joseph…