Search Results for author: Jakub Chłędowski

Found 6 papers, 5 papers with code

An efficient deep neural network to find small objects in large 3D images

1 code implementation16 Oct 2022 Jungkyu Park, Jakub Chłędowski, Stanisław Jastrzębski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras

On a dataset collected at NYU Langone Health, including 85, 526 patients with full-field 2D mammography (FFDM), synthetic 2D mammography, and 3D mammography, 3D-GMIC achieves an AUC of 0. 831 (95% CI: 0. 769-0. 887) in classifying breasts with malignant findings using 3D mammography.

Anatomy

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis

1 code implementation13 Jun 2021 Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras

In cancer diagnosis, interpretability can be achieved by localizing the region of the input image responsible for the output, i. e. the location of a lesion.

Medical Diagnosis Vocal Bursts Intensity Prediction +1

From Dataset Recycling to Multi-Property Extraction and Beyond

1 code implementation CONLL 2020 Tomasz Dwojak, Michał Pietruszka, Łukasz Borchmann, Jakub Chłędowski, Filip Graliński

This paper investigates various Transformer architectures on the WikiReading Information Extraction and Machine Reading Comprehension dataset.

Machine Reading Comprehension

On the Multi-Property Extraction and Beyond

no code implementations15 Jun 2020 Tomasz Dwojak, Michał Pietruszka, Łukasz Borchmann, Filip Graliński, Jakub Chłędowski

In this paper, we investigate the Dual-source Transformer architecture on the WikiReading information extraction and machine reading comprehension dataset.

Machine Reading Comprehension

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