Zongwei Zhou

CoRR, 2024

From Pixel to Cancer: Cellular Automata in Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Embracing Massive Medical Data.

[BibT_eX]

[DOI]

Yu-Cheng Chou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?

[BibT_eX]

[DOI]

Wenxuan Li

Thanumalayan Sankaranarayana Pillai

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Generalizable Tumor Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Structure-Aware Sparse-View X-Ray 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

[BibT_eX]

[DOI]

Vinodkumar Prabhakaran

Kathy Meier-Hellstern

J. Mach. Learn. Res., 2023

Synthetic Data as Validation.

[BibT_eX]

[DOI]

Qixin Hu

CoRR, 2023

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.

[BibT_eX]

[DOI]

CoRR, 2023

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Making Your First Choice: To Address Cold Start Problem in Medical Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

Continual Learning for Abdominal Multi-organ and Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Label-Assemble: Leveraging Multiple Datasets with Partial Labels.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks.

[BibT_eX]

[DOI]

Yixiong Chen

Mohammad Reza Hosseinzadeh Taher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Label-Free Liver Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models.

[BibT_eX]

[DOI]

Karthik Srinivasa Murthy

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2022

Synthetic Tumors Make AI Segment Tumors Better.

[BibT_eX]

[DOI]

CoRR, 2022

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning.

[BibT_eX]

[DOI]

CoRR, 2022

AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

CateNorm: Categorical Normalization for Robust Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning.

[BibT_eX]

[DOI]

Fatemeh Haghighi

Michael B. Gotway

IEEE Trans. Medical Imaging, 2021

Models Genesis.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Active, continual fine tuning of convolutional neural networks for reducing annotation efforts.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification.

[BibT_eX]

[DOI]

CoRR, 2021

In-painting Radiography Images for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product.

[BibT_eX]

[DOI]

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

Spatial Preserved Graph Convolution Networks for Person Re-identification.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2020

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.

[BibT_eX]

[DOI]

Nima Tajbakhsh

Mohammad Reza Hosseinzadeh Taher

IEEE Trans. Medical Imaging, 2020

Distractor-aware discrimination learning for online multiple object tracking.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Dual L<sub>1</sub>-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Anchor-Free One-Stage Online Multi-object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration.

[BibT_eX]

[DOI]

Fatemeh Haghighi

Michael B. Gotway

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Parts2Whole: Self-supervised Contrastive Learning via Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.

[BibT_eX]

[DOI]

Christopher B. Kendall

J. Digit. Imaging, 2019

Scale MLPerf-0.6 models on Google TPU-v3 Pods.

[BibT_eX]

[DOI]

CoRR, 2019

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.

[BibT_eX]

[DOI]

Vatsal Sodha

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts.

[BibT_eX]

[DOI]

CoRR, 2018

UNet++: A Nested U-Net Architecture for Medical Image Segmentation.

[BibT_eX]

[DOI]

Nima Tajbakhsh

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images.

[BibT_eX]

[DOI]

CoRR, 2017

Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error for Matrix Completion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Double nuclear norm-based robust principal component analysis for image disocclusion and object detection.

[BibT_eX]

[DOI]

Zhong Jin

Neurocomputing, 2016

Two-dimension principal component analysis-based motion detection framework with subspace update of background.

[BibT_eX]

[DOI]

Zhong Jin

IET Comput. Vis., 2016

2015

Dancing with Giants: Wimpy Kernels for On-Demand I/O Isolation.

[BibT_eX]

[DOI]

Miao Yu

Virgil D. Gligor

IEEE Secur. Priv., 2015

Trusted Display on Untrusted Commodity Platforms.

[BibT_eX]

[DOI]

Miao Yu

Virgil D. Gligor

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

2014

On-demand Isolated I/O for Security-sensitive Applications on Commodity Platforms.

[BibT_eX]

[DOI]

PhD thesis, 2014

Dancing with Giants: Wimpy Kernels for On-Demand Isolated I/O.

[BibT_eX]

[DOI]