E-LIB Suche - Ergebnisse für: Shoshan, Yoel

1

FuseMedML: a framework for accelerated discovery inmachine ..:

Golts, Alex ; Raboh, Moshe ; Shoshan, Yoel...
Journal of Open Source Software. 8 (2023) 81 - p. 4943 , 2023

Link: https://doi.org/10.21105..

2

An Ensemble of 3D U-Net Based Models for Segmentation of Ki..:

, In: Lecture Notes in Computer Science; Kidney and Kidney Tumor Segmentation,

Golts, Alex ; Khapun, Daniel ; Shats, Daniel.. - p. 103-115 , 2022

Link: https://doi.org/10.1007/..

3

On the Choice of Active Site Sequences for Kinase-Ligand Af..:

Born, Jannis ; Shoshan, Yoel ; Huynh, Tien...
Journal of Chemical Information and Modeling. 62 (2022) 18 - p. 4295-4299 , 2022

Link: https://doi.org/10.1021/..

4

Lessons from the first DBTex Challenge:

Park, Jungkyu ; Shoshan, Yoel ; Martí, Robert...
Nature Machine Intelligence. 3 (2021) 8 - p. 735-736 , 2021

Link: https://doi.org/10.1038/..

5

Beyond Non-maximum Suppression - Detecting Lesions in Digit..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,

Shoshan, Yoel ; Zlotnick, Aviad ; Ratner, Vadim... - p. 772-781 , 2021

Link: https://doi.org/10.1007/..

6

Correction to: The Case of Missed Cancers: Applying AI as a..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,

Chorev, Michal ; Shoshan, Yoel ; Akselrod-Ballin, Ayelet... - p. C1-C1 , 2020

Link: https://doi.org/10.1007/..

7

The Case of Missed Cancers: Applying AI as a Radiologist's ..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,

Chorev, Michal ; Shoshan, Yoel ; Akselrod-Ballin, Ayelet... - p. 220-229 , 2020

Link: https://doi.org/10.1007/..

8

Mammogram Classification with Ordered Loss:

, In: Artificial Intelligence in Medicine; Lecture Notes in Computer Science,

Ben-Ari, Rami ; Shoshan, Yoel ; Tlusty, Tal - p. 67-76 , 2019

Link: https://doi.org/10.1007/..

9

A large dataset curation and benchmark for drug target inte..:

Golts, Alex ; Ratner, Vadim ; Shoshan, Yoel...
http://arxiv.org/abs/2401.17174. , 2024

Link: http://arxiv.org/abs/240..

10

The KiTS21 Challenge: Automatic segmentation of kidneys, re..:

Heller, Nicholas ; Isensee, Fabian ; Trofimova, Dasha...
http://arxiv.org/abs/2307.01984. , 2023

Link: http://arxiv.org/abs/230..

11

Large curated dataset for drug target interaction:

Golts, Alex ; Ratner, Vadim ; Shoshan, Yoel...
doi:10.5281/zenodo.8105616. , 2023

Link: https://zenodo.org/recor..

12

On the Choice of Active Site Sequences for Kinase-Ligand Af..:

Born, Jannis ; id_orcid:0 000-0001-8307-5670 ; Shoshan, Yoel...
info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.jcim.2c00840. , 2022

Link: https://hdl.handle.net/2..

13

On the Choice of Active Site Sequences for Kinase-Ligand Af..:

Born, Jannis ; Shoshan, Yoel ; Huynh, Tien...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516689/. , 2022

Link: http://www.ncbi.nlm.nih...

14

AdapterNet - learning input transformation for domain adapt..:

Hazan, Alon ; Shoshan, Yoel ; Khapun, Daniel..
http://arxiv.org/abs/1805.11601. , 2018

Link: http://arxiv.org/abs/180..

15

Learning multiple non-mutually-exclusive tasks for improved..:

Ratner, Vadim ; Shoshan, Yoel ; Kachman, Tal
http://arxiv.org/abs/1805.11837. , 2018

Link: http://arxiv.org/abs/180..