Bennett A. Landman
5 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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Mega-Team · Squad
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Research topics
Keywords
reinforcement learning
(1)
transfer learning
(1)
medical image segmentation
(1)
image-to-image translation
(1)
medical image analysis
(1)
diffusion model
(1)
convolutional neural network
(1)
recurrent neural network
(1)
multimodal fusion
(1)
zero-shot inference
(1)
medical image generation
(1)
hierarchical transformer
(1)
depthwise convolution
(1)
virtual staining
(1)
whole slide imaging
(1)
diffusion mri
(1)
large kernel
(1)
white matter
(1)
adaptive modality selection
(1)
volumetric convolution
(1)
Papers
AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning
MIDL 2026
MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata
MIDL 2026
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
ICLR 2023
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis
MIDL 2023
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
MIDL 2023