Morgan Lindsay Heisler
Orcid: 0000-0003-4001-5939
According to our database1,
Morgan Lindsay Heisler
authored at least 12 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, October, 2025
HyperFlexis: Joint Design of Algorithms and Systems for Multi-SLO Serving and Fast Scaling.
CoRR, August, 2025
Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
2022
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.
Comput. Medical Imaging Graph., 2021
2020
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning.
CoRR, 2020
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
Medical Image Anal., 2019
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.
CoRR, 2019
Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms.
CoRR, 2019
Transfer Learning with U-Net type model for Automatic Segmentation of Three Retinal Layers In Optical Coherence Tomography Images.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019
2017
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network.
CoRR, 2017