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The Importance of Skip Connections in Biomedical Image Segmentation

Deep Learning and Data Labeling for Medical Applications, p.179-187

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Learning normalized inputs for iterative estimation in medical image segmentation

Medical image analysis, 2018-02, Vol.44, p.1-13

2018

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Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks

Scientific reports, 2022-02, Vol.12 (1), p.3183-3183, Article 3183

2022

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Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models

Abdominal Imaging. Computational and Clinical Applications, p.74-83

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Dynamics and Distribution of Klothoβ (KLB) and Fibroblast Growth Factor Receptor-1 (FGFR1) in Living Cells Reveal the Fibroblast Growth Factor-21 (FGF21)-induced Receptor Complex

The Journal of biological chemistry, 2012-06, Vol.287 (24), p.19997-20006

2012

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Deep Learning: A Primer for Radiologists

Radiographics, 2017-11, Vol.37 (7), p.2113-2131

2017

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Label Noise in Segmentation Networks: Mitigation Must Deal with Bias

Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, p.251-258

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Liver lesion segmentation informed by joint liver segmentation

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1332-1335

2018

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Metastatic liver tumour segmentation from discriminant Grassmannian manifolds

Physics in medicine & biology, 2015-08, Vol.60 (16), p.6459-6478

2015

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Towards annotation-efficient segmentation via image-to-image translation

Medical image analysis, 2022-11, Vol.82, p.102624-102624, Article 102624

2022

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Кардиоида

Математика и информатика, 2019, Vol.62 (6), p.636-647

2019

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Image-level supervision and self-training for transformer-based cross-modality tumor segmentation

Medical image analysis, 2024-10, Vol.97, p.103287, Article 103287

2024

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Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.1360-1364

2021

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Metastatic liver tumour segmentation with a neural network-guided 3D deformable model

Medical & biological engineering & computing, 2017, Vol.55 (1), p.127-139

2017

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On Medical Image Segmentation and on Modeling Long Term Dependencies

Vorontsov, Eugene

2020

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Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers

Journal of applied clinical medical physics, 2022-08, Vol.23 (8), p.e13655-n/a

2022

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Abstract PD11-02: Subtyping invasive carcinomas and high-risk lesions for machine learning based breast pathology

Cancer research (Chicago, Ill.), 2022-02, Vol.82 (4_Supplement), p.PD11-02-PD11-02

2022

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Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases

Radiology. Artificial intelligence, 2019-03, Vol.1 (2), p.180014-180014

2019

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M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.141-151

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Revealing Fibroblast Growth Factor Receptor-1 and Klotho-Beta Plasma Membrane Dynamics with FRAP and Number and Brightness Analysis

Biophysical journal, 2012-01, Vol.102 (3), p.666a-666a

2012

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Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2019, Vol.33 (1), p.3280-3287

2019

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HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis

Nucleic acids research, 2018-01, Vol.46 (D1), p.D252-D259

2018

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Landscape of allele-specific transcription factor binding in the human genome

Nature communications, 2021-05, Vol.12 (1), p.2751-15, Article 2751

2021

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ANANASTRA: annotation and enrichment analysis of allele-specific transcription factor binding at SNPs

Nucleic acids research, 2022-07, Vol.50 (W1), p.W51-W56

2022

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The Importance of Skip Connections in Biomedical Image Segmentation

Learning normalized inputs for iterative estimation in medical image segmentation

Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks

Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models

Dynamics and Distribution of Klothoβ (KLB) and Fibroblast Growth Factor Receptor-1 (FGFR1) in Living Cells Reveal the Fibroblast Growth Factor-21 (FGF21)-induced Receptor Complex

Deep Learning: A Primer for Radiologists

Label Noise in Segmentation Networks: Mitigation Must Deal with Bias

Liver lesion segmentation informed by joint liver segmentation

Metastatic liver tumour segmentation from discriminant Grassmannian manifolds

Towards annotation-efficient segmentation via image-to-image translation

Кардиоида

Image-level supervision and self-training for transformer-based cross-modality tumor segmentation

Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model

On Medical Image Segmentation and on Modeling Long Term Dependencies

Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers

Abstract PD11-02: Subtyping invasive carcinomas and high-risk lesions for machine learning based breast pathology

Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases

A foundation model for clinical-grade computational pathology and rare cancers detection

M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision

Revealing Fibroblast Growth Factor Receptor-1 and Klotho-Beta Plasma Membrane Dynamics with FRAP and Number and Brightness Analysis

Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies

HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis

Landscape of allele-specific transcription factor binding in the human genome

ANANASTRA: annotation and enrichment analysis of allele-specific transcription factor binding at SNPs

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