{"id":"https://openalex.org/W7161806151","doi":"https://doi.org/10.1109/isbi61048.2026.11515683","title":"Morphogenetic Field Loss for Unified Medical Image Segmentation","display_name":"Morphogenetic Field Loss for Unified Medical Image Segmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161806151","doi":"https://doi.org/10.1109/isbi61048.2026.11515683"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136559585","display_name":"Soma Dasgupta","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soma Dasgupta","raw_affiliation_strings":["TCS Research, Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025308099","display_name":"S. Dey","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swarnava Dey","raw_affiliation_strings":["TCS Research, Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013973948","display_name":"Avik Ghose","orcid":"https://orcid.org/0000-0002-0733-7082"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avik Ghose","raw_affiliation_strings":["TCS Research, Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031139197","display_name":"Arijit Mukherjee","orcid":"https://orcid.org/0000-0001-5052-4476"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arijit Mukherjee","raw_affiliation_strings":["TCS Research, Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136574189","display_name":"Arpan Pal","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpan Pal","raw_affiliation_strings":["TCS Research, Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71348094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.4528999924659729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.4528999924659729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.051899999380111694,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.020899999886751175,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5286999940872192},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49570000171661377},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4390999972820282},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.364300012588501},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36059999465942383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.349700003862381}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6761999726295471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6431999802589417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892999768257141},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5286999940872192},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.364300012588501},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36059999465942383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313903","display_name":"Tata Consultancy Services","ror":"https://ror.org/01b9n8m42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1985072454","https://openalex.org/W2792767783","https://openalex.org/W2962767316","https://openalex.org/W2963946669","https://openalex.org/W2974844314","https://openalex.org/W3002569343","https://openalex.org/W3003362255","https://openalex.org/W3014974815","https://openalex.org/W3127859904","https://openalex.org/W3211490618","https://openalex.org/W4281629935","https://openalex.org/W4387510195","https://openalex.org/W7133214159"],"related_works":[],"abstract_inverted_index":{"Training":[0],"medical":[1],"segmentation":[2],"networks":[3],"hinges":[4],"on":[5],"our":[6,143],"ability":[7],"to":[8],"find":[9],"good":[10],"minimizer":[11],"of":[12,62],"highly":[13],"non-convex":[14],"loss":[15],"functions,":[16],"yet":[17],"the":[18,60,136],"way":[19],"different":[20],"losses":[21],"sculpt":[22],"this":[23,54],"landscape":[24],"remains":[25],"poorly":[26],"understood.":[27],"Classical":[28],"objectives":[29],"such":[30],"as":[31,37,77],"crossentropy,":[32],"Dice,":[33],"and":[34,49,65,74,99,109,120,139],"Tversky":[35],"act":[36],"static":[38],"point":[39],"wise":[40],"penalties,":[41],"offering":[42],"little":[43],"insight":[44],"into":[45,116],"how":[46],"anatomical":[47],"structure":[48],"uncertainty":[50],"influence":[51],"optimization.":[52],"In":[53],"work,":[55],"we":[56],"reinterpret":[57],"supervision":[58],"through":[59],"lens":[61],"reaction-diffusion":[63],"dynamics":[64],"introduce":[66],"Morphogenetic":[67],"Field":[68],"Loss":[69],"(MFLoss),":[70],"which":[71],"evolves":[72],"predictions":[73],"ground":[75],"truth":[76],"interacting":[78],"morphogenetic":[79],"fields":[80],"before":[81],"measuring":[82],"their":[83],"discrepancy.":[84],"This":[85],"view":[86],"yields":[87],"smoother,":[88],"more":[89],"topology-aware":[90],"minima":[91],"that":[92],"generalize":[93],"across":[94],"organs,":[95],"lesions,":[96],"layers,":[97],"instruments,":[98],"brain":[100],"tissue,":[101],"while":[102],"remaining":[103],"fully":[104],"compatible":[105],"with":[106],"standard":[107],"backpropagation":[108],"architectures.":[110],"Intuitively,":[111],"diffusion":[112],"flattens":[113],"noisy":[114],"valleys":[115],"stable":[117],"tissue":[118],"basins,":[119],"reaction":[121],"carves":[122],"sharp":[123],"boundary":[124],"ridges":[125],"where":[126],"anatomy":[127],"demands":[128],"precision,":[129],"providing":[130],"a":[131],"physically":[132],"interpretable":[133],"explanation":[134],"for":[135],"improved":[137],"convergence":[138],"generalization":[140],"observed":[141],"in":[142],"experiments.":[144]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-05-21T00:00:00"}
