Search Results for author: Jizong Peng

Found 11 papers, 4 papers with code

Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation

no code implementations4 Feb 2022 Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers

Unsupervised pre-training has been proven as an effective approach to boost various downstream tasks given limited labeled data.

Contrastive Learning Image Segmentation +4

Diversified Multi-prototype Representation for Semi-supervised Segmentation

no code implementations16 Nov 2021 Jizong Peng, Christian Desrosiers, Marco Pedersoli

This work considers semi-supervised segmentation as a dense prediction problem based on prototype vector correlation and proposes a simple way to represent each segmentation class with multiple prototypes.


Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels

1 code implementation NeurIPS 2021 Jizong Peng, Ping Wang, Chrisitian Desrosiers, Marco Pedersoli

Pre-training a recognition model with contrastive learning on a large dataset of unlabeled data has shown great potential to boost the performance of a downstream task, e. g., image classification.

Contrastive Learning Image Classification +3

Context-aware virtual adversarial training for anatomically-plausible segmentation

no code implementations12 Jul 2021 Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers

Despite their outstanding accuracy, semi-supervised segmentation methods based on deep neural networks can still yield predictions that are considered anatomically impossible by clinicians, for instance, containing holes or disconnected regions.


Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization

1 code implementation8 Mar 2021 Jizong Peng, Marco Pedersoli, Christian Desrosiers

In this method, we maximize the MI for intermediate feature embeddings that are taken from both the encoder and decoder of a segmentation network.

Image Segmentation Medical Image Segmentation +2

Self-paced and self-consistent co-training for semi-supervised image segmentation

1 code implementation31 Oct 2020 Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers

Moreover, to encourage predictions from different networks to be both consistent and confident, we enhance this generalized JSD loss with an uncertainty regularizer based on entropy.

Image Segmentation Segmentation +1

Information based Deep Clustering: An experimental study

no code implementations3 Oct 2019 Jizong Peng, Christian Desrosiers, Marco Pedersoli

The second, named Invariant Information Clustering (IIC), maximizes the mutual information between the clustering of a sample and its geometrically transformed version.

Clustering Deep Clustering

Discretely-constrained deep network for weakly supervised segmentation

no code implementations15 Aug 2019 Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers

An efficient strategy for weakly-supervised segmentation is to impose constraints or regularization priors on target regions.

Cardiac Segmentation Segmentation +1

Deep Co-Training for Semi-Supervised Image Segmentation

2 code implementations27 Mar 2019 Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers

In this paper, we aim to improve the performance of semantic image segmentation in a semi-supervised setting in which training is effectuated with a reduced set of annotated images and additional non-annotated images.

Image Segmentation Segmentation +1

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