Aleksandar Vakanski | DeepAI

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Featured Co-authors

Min Xian
29 publications
Boyu Zhang
24 publications
Haotian Wang
15 publications
Jianrui Ding
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Chunping Ning
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Bryar Shareef
4 publications
Sujata Butte
3 publications
Shoukun Sun
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Kasia Duellman
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∙ 08/27/2023

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation

Despite recent medical advancements, breast cancer remains one of the mo...

0 Mohammad Karimzadeh, et al. ∙

∙ 08/04/2023

Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network

Capturing global contextual information plays a critical role in breast ...

0 Bryar Shareef, et al. ∙

∙ 01/28/2023

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review

Cancer is a term that denotes a group of diseases caused by abnormal gro...

0 Fadi Alharbi, et al. ∙

∙ 01/24/2023

Enhanced Sharp-GAN For Histopathology Image Synthesis

Histopathology image synthesis aims to address the data shortage issue i...

0 Sujata Butte, et al. ∙

∙ 09/02/2022

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis

Existing deep networks for histopathology image synthesis cannot generat...

10 Haotian Wang, et al. ∙

∙ 05/02/2022

MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Robust self-training (RST) can augment the adversarial robustness of ima...

0 Shoukun Sun, et al. ∙

∙ 01/13/2022

EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer

Deep learning-based computer-aided diagnosis has achieved unprecedented ...

0 Jiaqiao Shi, et al. ∙

∙ 10/27/2021

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis

Existing deep learning-based approaches for histopathology image analysi...

0 Sujata Butte, et al. ∙

∙ 10/27/2021

TA-Net: Topology-Aware Network for Gland Segmentation

Gland segmentation is a critical step to quantitatively assess the morph...

0 Haotian Wang, et al. ∙

∙ 10/05/2021

BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images

In healthcare, it is essential to explain the decision-making process of...

0 Boyu Zhang, et al. ∙

∙ 09/30/2021

Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images

Separating overlapped nuclei is a major challenge in histopathology imag...

18 Haotian Wang, et al. ∙

∙ 06/14/2021

Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection

Recent research on the application of remote sensing and deep learning-b...

0 Sujata Butte, et al. ∙

∙ 03/04/2021

Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis

The generalization performance of deep learning models for medical image...

0 Aleksandar Vakanski, et al. ∙

∙ 02/03/2020

Stan: Small tumor-aware network for breast ultrasound image segmentation

Breast tumor segmentation provides accurate tumor boundary, and serves a...

0 Bryar Shareef, et al. ∙

∙ 02/03/2020

Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images

Separating overlapped nuclei is a major challenge in histopathology imag...

0 Haotian Wang, et al. ∙

∙ 10/20/2019

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

Incorporating human expertise and domain knowledge is particularly impor...

0 Aleksandar Vakanski, et al. ∙

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