Jianming Liang | DeepAI

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Featured Co-authors

Yoshua Bengio
448 publications
Ping Luo
182 publications
Yu Liu
160 publications
Liang Chen
97 publications
Demetri Terzopoulos
32 publications
Zongwei Zhou
27 publications
Guanglu Song
18 publications
Yi Xiao
14 publications
Nima Tajbakhsh
14 publications
Xiaowei Ding
13 publications
Md Mahfuzur Rahman Siddiquee
12 publications

∙ 10/20/2022

Large-batch Optimization for Dense Visual Predictions

Training a large-scale deep neural network in a large-scale dataset is c...

0 Zeyue Xue, et al. ∙

∙ 08/18/2022

Unifying Visual Perception by Dispersible Points Learning

We present a conceptually simple, flexible, and universal visual percept...

0 Jianming Liang, et al. ∙

∙ 04/21/2022

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis

Discriminative learning, restorative learning, and adversarial learning ...

10 Fatemeh Haghighi, et al. ∙

∙ 04/15/2022

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging

Recently, self-supervised instance discrimination methods have achieved ...

19 Mohammad Reza Hosseinzadeh Taher, et al. ∙

∙ 09/15/2021

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection

Pulmonary embolism (PE) represents a thrombus ("blood clot"), usually or...

0 Nahid Ul Islam, et al. ∙

∙ 08/12/2021

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis

Transfer learning from supervised ImageNet models has been frequently us...

8 Mohammad Reza Hosseinzadeh Taher, et al. ∙

∙ 02/21/2021

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

This paper introduces a new concept called "transferable visual words" (...

12 Fatemeh Haghighi, et al. ∙

∙ 07/14/2020

Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

Medical images are naturally associated with rich semantics about the hu...

12 Fatemeh Haghighi, et al. ∙

∙ 03/30/2020

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)

Rationale: Computer aided detection (CAD) algorithms for Pulmonary Embol...

0 Germán González, et al. ∙

∙ 12/11/2019

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

The state-of-the-art models for medical image segmentation are variants ...

39 Zongwei Zhou, et al. ∙

∙ 08/19/2019

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

Transfer learning from natural image to medical image has established as...

1 Zongwei Zhou, et al. ∙

∙ 08/16/2019

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

Generative adversarial networks (GANs) have ushered in a revolution in i...

8 Md Mahfuzur Rahman Siddiquee, et al. ∙

∙ 01/25/2019

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

We investigate the effectiveness of a simple solution to the common prob...

0 Nima Tajbakhsh, et al. ∙

∙ 07/18/2018

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

In this paper, we present UNet++, a new, more powerful architecture for ...

0 Zongwei Zhou, et al. ∙

∙ 02/03/2018

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

The splendid success of convolutional neural networks (CNNs) in computer...

0 Zongwei Zhou, et al. ∙

∙ 06/02/2017

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks

Cardiovascular disease (CVD) is the leading cause of mortality yet large...

0 Jae Y. Shin, et al. ∙

∙ 06/02/2017

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Training a deep convolutional neural network (CNN) from scratch is diffi...

0 Nima Tajbakhsh, et al. ∙

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