nithyabhasker
@nithyabhasker
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PhD student @TSO_Lab - National Center for Tumor Diseases (NCT) Dresden
Dresden, Germany
Joined April 2010
Check out Contrastive Poincaré Maps, a hyperbolic representation learning method, that excels at uncovering hierarchical relationships in scRNA-seq data: https://t.co/4H83Gx0dt0 Thanks to @mweber_PU for supervision, and to Hattie Chung, @SpeidelStefanie, @LCB0B & Vladislav Kim!
biorxiv.org
Single-cell RNA-sequencing (scRNA-seq) enables the study of hierarchical and branching patterns in organismic development at high resolution. Analyzing such data requires visualization and analysis...
Single-cell data can reveal hierarchical patterns in organismic development but popular embedding approaches often distort them. We introduce Contrastive Poincaré Maps, a self-supervised hyperbolic encoder that preserves hierarchies, scales efficiently, and uncovers developmental
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Thank you for all your interest. Here is the link to the code repository:
github.com
A contrastive learning and hyperbolic geometry-based embedding tool to analyse developmental lineages in single cell RNA-seq data - NithyaBhasker/ContrastivePoincareMaps
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An implementation of Contrastive Poincaré Maps with sample notebooks for the biomedical case studies is now publicly available:
github.com
A contrastive learning and hyperbolic geometry-based embedding tool to analyse developmental lineages in single cell RNA-seq data - NithyaBhasker/ContrastivePoincareMaps
Single-cell data can reveal hierarchical patterns in organismic development but popular embedding approaches often distort them. We introduce Contrastive Poincaré Maps, a self-supervised hyperbolic encoder that preserves hierarchies, scales efficiently, and uncovers developmental
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Deadline Approaching! ⌚️Don't miss out on the #Challenge #FedSurg with @endo_vis & @MICCAI_Society!🏥🧑🔬🩺 Classify inflammation levels in #appendectomies using #FederatedLearning. Register by Aug. 20 and hand in your submission by Sep. 9. to win the🏆! See you in #Marrakesh!🇲🇦🧵
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Congratulations to our very own @kumar_danush for winning Best Poster Award at #EEML2024 summer school! 🎉 @NCT_UCC_DD @SECAI_School @EEMLcommunity @GoogleDeepMind
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Kudos to our own Isabel Funke @it_funke for giving a lecture on Surgical Phase Recognition at the Strasbourg #SurgicalDataScience summer school 2024! 🎉 @NCT_UCC_DD @TactileInternet @IHUStrasbourg @CammaLab @tudresden_de
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It is with great pride that we congratulate our PhD student @DominikRivoir for successfully organizing @dca_in_mi workshop at the esteemed @CVPR conference 2024! 🎉🥳 @NCT_UCC_DD @TactileInternet @IntuitiveSurg
https://t.co/DaFyA3V957
@tudresden_de
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TSO stars shine @IPCAI_conf this week! 🌟 We are presenting our work on surgical skill assessment [1], synthetic data generation [2] and model training with complementary datasets [3]. @NCT_UCC_DD @TactileInternet @SECAI_School @Neardata2023 @6gLife @Medizin_TUD @tudresden_de
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We are excited to see you at the #DCAMI workshop @CVPR this coming Monday, June 17, in beautiful Seattle! Join us for a stellar lineup of keynotes, panel discussions, oral & poster presentations, and the following award ceremony. Check out our program: https://t.co/jSOUWXrc3k
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Thank you Ralph @RSIPvision for featuring our poster in Computer Vision News! https://t.co/BXUqwfSW98
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Our PhD student @nithyabhasker presented her research on Contrastive Poincare Maps for Single-cell Data Analysis @MLGenX #ICLR2024 last week @SpeidelStefanie @NCT_UCC_DD @DKFZ (Picture credits: Ralph @RSIPvision).
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Excited to be part of #ICLR2024 and looking forward to presenting our poster @MLGenX. A huge thank you to @mweber_PU and the all the co-authors - Hattie Chung, Louis Boucherie, Vladislav Kim and @SpeidelStefanie
On Sat, 11.40am, visit our poster @MLGenX to learn about contrastive hyperbolic embeddings for single-cell data analysis. https://t.co/HxNIzM13vl with @nithyabhasker, Hattie Chung, Louis Boucherie, Vladislav Kim, and Stefanie Speidel
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On Sat, 11.40am, visit our poster @MLGenX to learn about contrastive hyperbolic embeddings for single-cell data analysis. https://t.co/HxNIzM13vl with @nithyabhasker, Hattie Chung, Louis Boucherie, Vladislav Kim, and Stefanie Speidel
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Thank you Ralph @RSIPvision! It was great to talk to you again! 😊
Thank you Ralph from @RSIPvision for featuring our @CVPR workshop “Data Curation and Augmentation in Medical Imaging” in Computer Vision News! Article: https://t.co/T8QvPoxNsy Come visit the workshop if you are going to CVPR in Seattle this June!
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🏅Take your chance to participate in the #OSS #Endovis subchallenge I'm organizing this year.🏆 Train a classifier in two tasks to evaluate surgical suturing skills. 📋🥼 https://t.co/Q2Za1yAq4g
We are back this year with a record number of #Endovis sub-challenges #MICCAI2024 For details👉 https://t.co/Lq1grnezoZ
@SpeidelStefanie @lena_maierhein @DanStoyanov
@annika_re @SophiaBano @s_bodenstedt @IntuitiveSurg @ImFusionGmbH @nvidia @WEISS_UCL @ReMIC_OTH
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I'm organizing the #Endovis sub challenge #FedSurg this year, take your chance to participate and gain experience to create a classifier in a #federatedlearning environment from data from different hospitals to classify the degree of inflammation of the #appendix.
We are back this year with a record number of #Endovis sub-challenges #MICCAI2024 For details👉 https://t.co/Lq1grnezoZ
@SpeidelStefanie @lena_maierhein @DanStoyanov
@annika_re @SophiaBano @s_bodenstedt @IntuitiveSurg @ImFusionGmbH @nvidia @WEISS_UCL @ReMIC_OTH
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Considering a PhD in Artificial Intelligence? Gain some valuable insights from our current PhD candidate, Susu Hu, as she shares her research journey at SECAI: https://t.co/bIGEQ7Zhhd Find out more about the PhD program here:
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Proud to have played a small role in the SurgOmics project! Grateful to my PI @SpeidelStefanie and all the project partners for the opportunity. 🙏
Delighted to have been part of the Clinical AI Day @Medizin_TUD! We presented a final report on our @BMG_Bund project SurgOmics, accompanied by cutting-edge hands-on project demonstrations. @NCT_UCC_DD @EKFZdigital @TactileInternet @SECAI_School 📽️: https://t.co/GQA8mflD0o
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🚨 How do we synthesize fully annotated and semantically consistent surgical datasets? We address this in our work (ConStructS), which was published at @SpringerNature #IJCARS and will be presented at @IPCAI_conf 📜Paper: https://t.co/n1ALh9S6hn 🧵1/4
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📢Excited to announce my latest (and first🎉) publication in @SpringerNature #IJCARS. Looking forward to presenting @IPCAI_conf #IPCAI_2024 #CARS 🚀Dive into the future of surgical training with our latest benchmark on a new dataset from #UKAachen🏥 https://t.co/ziXYxrtcRo 🧵1/4
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