220 citations · 371 across the 16 of their papers we have counts for
16 papers
Multimodal Large Language Models for Bioimage Analysis
Shanghang Zhang, Gaole Dai, Tiejun Huang +1
Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scale…
Multisensory extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine
Kathrin Krieger, Jan Egger, Jens Kleesiek +2
3D data from high-resolution volumetric imaging is a central resource for diagnosis and treatment in modern medicine. While the fast development of AI enhances imaging and analysis…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Masked Diffusion as Self-supervised Representation Learner
Zixuan Pan, Jianxu Chen, Yiyu Shi
Denoising diffusion probabilistic models have recently demonstrated state-of-the-art generative performance and have been used as strong pixel-level representation learners. This p…
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
Yu Zhou, Justin Sonneck, Sweta Banerjee +4
Artificial intelligence (AI) has been widely used in bioimage image analysis nowadays, but the efficiency of AI models, like the energy consumption and latency is not ignorable due…
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation
Justin Sonneck, Jianxu Chen
Over the past decade, deep learning (DL) research in computer vision has been growing rapidly, with many advances in DL-based image analysis methods for biomedical problems. In thi…
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation
Peixian Liang, Yizhe Zhang, Yifan Ding +5
Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow extrac…
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Hongxiao Wang, Hao Zheng, Jianxu Chen +3
Automatic histopathology image segmentation is crucial to disease analysis. Limited available labeled data hinders the generalizability of trained models under the fully supervised…
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
Peixian Liang, Jianxu Chen, Hao Zheng +3
The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation. The encoder fully compresses the input and generates encoded features, and…
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
Peixian Liang, Jianxu Chen, Pavel A. Brodskiy +6
Wing disc pouches of fruit flies are a powerful genetic model for studying physiological intercellular calcium () signals for dynamic analysis of cell signaling in organ d…
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Lin Yang, Yizhe Zhang, Jianxu Chen +2
Image segmentation is a fundamental problem in biomedical image analysis. Recent advances in deep learning have achieved promising results on many biomedical image segmentation ben…
Neuron Segmentation Using Deep Complete Bipartite Networks
Jianxu Chen, Sreya Banerjee, Abhinav Grama +2
In this paper, we consider the problem of automatically segmenting neuronal cells in dual-color confocal microscopy images. This problem is a key task in various quantitative analy…
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs
Xiaoming Chen, Jianxu Chen, Danny Z. Chen +1
Convolution is a fundamental operation in many applications, such as computer vision, natural language processing, image processing, etc. Recent successes of convolutional neural n…
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Jianxu Chen, Chukka Srinivas
Automatic detection of lymphocyte in H&E images is a necessary first step in lots of tissue image analysis algorithms. An accurate and robust automated lymphocyte detection approac…
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Jianxu Chen, Lin Yang, Yizhe Zhang +2
Segmentation of 3D images is a fundamental problem in biomedical image analysis. Deep learning (DL) approaches have achieved state-of-the-art segmentation perfor- mance. To exploit…
Kinetic Transition Networks for the Thomson Problem and Smale's 7th Problem
Dhagash Mehta, Jianxu Chen, Danny Z. Chen +2
The Thomson Problem, arrangement of identical charges on the surface of a sphere, has found many applications in physics, chemistry and biology. Here we show that the energy landsc…